bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis Warning Algorithm of Landslide Deformation
Authors: Feng Siyu , Hu Dingmei , Wang Shouhua , Zhou Bo , Tang Donghai , Weng Chenghao , Dong Hang , Chang Xiaochi 
Published: June 2020

Abstract
Landslide is one of the most harmful geological disasters in the world. In order to effectively warn the landslide, Kalman filter is used to smooth the real-time Kinematic (RTK) positioning information of each monitoring point, remove outliers, improve monitoring accuracy, and extract information such as effective displacement. The attitude computation algorithm is used to solve the real-time attitude of the monitoring target, and the attitude prediction is realized which based on the deformation prediction information. Use the extended Kalman filter to realize the fusion of displacement deformation, velocity and acceleration data at multiple sites in the monitoring network, and to achieve the optimal estimation of comprehensive displacement. Use the MGM (1,1) gray model algorithm to realize the deformation displacement prediction. Use the comprehensive information amount to judge the landslide deformation grade. The early-warning algorithm is simple, easy to implement and practical, and can meet the actual requirements of landslide deformation early-warning.
Research and Application of Data Mining Technology in Library Office Information Construction
Authors: Wang Weifeng , Meng Luyang , Wu Lei , Zhang Jing 
Published: June 2020

Abstract
With the rapid development of the Internet, the amount of data related to users has shown a rapid increase. At the same time, in the library office system, the problem of how to effectively use and process massive data needs to be solved urgently. Data mining technology, as a technology combining machine learning, pattern recognition, and data visualization, can effectively solve many problems in the process of library office information construction. The data mining technology mainly includes many analysis methods such as association analysis, data segmentation, and deviation analysis. The mining results of these algorithm models are presented to users in a visual way, and the results of the rules, trends and concepts discovered can be applied to During the application of the system.
Formalization of the Gateaux derivative of functional and application in the principle of virtual work
Authors: Jingzhi Zhang , Ximeng Li , Guohui Wang , Yong Guan 
Published: June 2020

Abstract
Analytical mechanics provides the central guidelines for the design of engineering machinery in use today. One of the main pillars for analytical mechanics is the principle of virtual work. In the establishment of this principle, the Gateaux derivative plays an indispensable role. In this paper, we formalize the Gateaux derivative in the interactive theorem prover HOL Light. On this basis, we formally verify the principle of virtual work. This effort paves way for the computerized formalization of analytical mechanics. Thus, it will ultimately contribute to the verified design of engineering machinery, which comes with correctness guarantees beyond what is enabled by the currently adopted validation techniques.
Analysis of BeiDou/Galileo combined pseudo-range positioning performance in urban environment
Authors: Wu Youlong , Yang Zhong , Xu Nan , Yu Jiming 
Published: June 2020

Abstract
The observation conditions have a significant influence on the positioning performance. GNSS signals are easily blocked in urban environments, which leads to discontinuity and instability of position solution. With the construction of BeiDou and Galileo satellite navigation system in the final stage, multi-satellite fusion will be the future development trend of GNSSs. This paper introduces the mathematical fusion model of Galileo and BeiDou satellite navigation system, typical urban coverage conditions are simulated, and a detailed in the aspects of number of visible satellites, positioning error and PDOP values are analysed. The results show that the positioning accuracy of the integrated navigation system in the horizontal is within 3 m, the elevation is within 5 m, and the PDOP value are less than 1.5 in the open sky condition. In any coverage conditions, Galileo stand-alone system cannot guarantee the positioning continuity in the whole day, and positioning performance is the worst in the north coverage condition, unable to obtain the position solutions for more than 40% time in the whole day. In the north coverage condition, BeiDou has the best positioning performance, with a minimum of 4 visible satellites and 99% of PDOP values are less than 10.
Evaluation Model of the Regional Economic Vitality
Authors: Hu Jinyan , Cai Yongfang , Cheng Jiaming 
Published: June 2020

Abstract
Regional economic vitality is an important part of regional comprehensive competitiveness. Accurate assessment of regional economic vitality can reflect the state of economic development among different regions and provide reference to the developing policies of regional economic. To measure the regional economic vitality of main Chinese cities, in this paper, we first establish a mathematical index system based on five aspects (i.e., industrial vitality, capital vitality, innovation vitality, talent vitality and humanistic vitality). Then, the evaluation model of regional economic vitality is constructed using entropy method. The result shows that among 19 main cities of China, Guangzhou and Hangzhou have the highest economic vitality in the first-tier and second-tier cities, respectively. Besides, the change of the comprehensive evaluation of economic vitality among the first-tier cities is more obvious than that between second-tier cities. The evaluation results reflect regional differences in Chinese economic development and can provide valuable reference for exploring benign sustainable policies for regional economic development.
The Exploring on University Archives Management System Based on Information System
Authors: Lv Zuheng , Shi Heyuzi 
Published: June 2020

Abstract
Archive management is one of the routine tasks of colleges and universities. The effective use of college archives is of great significance to college brand building, cultural heritage, teaching reform, scientific research and innovation. Based on the major colleges and universities, this paper aims to explore the improvement of university archives management in the information age. It uses the literature review method, research method, experimental method, and object-oriented method to analyse. This paper analyzed the current situation of university archives management work, summed up the problems existing in archives management work, improved the archives management system of colleges and universities, and implemented it by means of management information system.
MSF-MAC: A Multi-Channel MAC Protocol for Long-distance and Anti-interference in Wireless Sensor Networks
Authors: Hao Ma , Jian Wu 
Published: June 2020

Abstract
On-site monitoring in the energy industry such as photovoltaic power stations is one of the main application areas of wireless sensor networks, with long distances, many nodes, long deployment cycles, and large communication interference. Aiming at these data collection characteristics, we propose a multi-channel MAC protocol which is capable of optimizing the allocation of multiple users for parallel transmission at a low data rate based on the SFs, named MSF-MAC. Based on the channel characteristics and flow characteristics of the data distribution of the acquisition nodes, the traffic adaptive slot allocation and the rate-based multi-spread-spectrum channel allocation algorithm are used to perform real-time coordinated scheduling of network nodes. At the same time, the protocol combines CSMA / polling mechanisms to design a multi-channel MAC protocol for long-distance and anti-interference in WSNs. Simulation experiments in NS2 confirm that the MSF-MAC has similar characteristics to 802.11 in the case of single-channel, and has a better system throughput and a lower average delay than 802.11 in the multi-channel scenario, which reduces the overhead of collisions and retransmissions, and improves the interference immunity of intra-cluster communication.
Empirical Research on Intelligent Upgrade Technology for Small and Medium-sized Logistics Enterprises
Authors: Chunfang Wang , Jilu Liu , Weibing Tan 
Published: June 2020

Abstract
The project uses key technologies such as PLC controller, inverter and sensor technology, integrated mechanical transmission, and motor drive to upgrade the equipment of a small enterprise, thereby realizing the intelligent automation of logistics sorting operations in the enterprise. The project research used interview method, observation method, and empirical analysis method. The research team went to the company’s site to investigate and study. After careful observation, it found that the company’s sorting system had problems. The misjudgement of the information of the sorting operator is the key reason for the picking error. Pushing the goods by manpower is the reason for the inefficiency. The project combines the principles of the related control system to redesign the operation of the original sorting operator. The intelligent control system and automatic code scanning system are connected to the relevant equipment of the operation line. The project realizes the connection between the intelligent control system and the automatic code scanning system on the existing transmission equipment. The combination of related technical function modules used in the project improves the maintainability of the equipment, which is a major improvement for enterprises to improve production efficiency and achieve capacity upgrades. Production innovation.
Research on practical calibration compensation method of MIMU
Authors: Zhao Renjie , Hu Baiqing , Tian Jiayu , Lv Xu 
Published: June 2020

Abstract
The Micro-inertial measurement unit (MIMU) is affected by the processing, installation and environment during its working process, which will produce large errors, resulting in low measurement precision, therefore, error calibration compensation is necessary. In this paper, a practical calibration compensation method of MIMU based on the error model of gyroscope and accelerometer was studied. The practical method uses a three-axis multi-functional turntable, which can provide high-precision angular rate and spatial position benchmark, to design the angular rate and six-position calibration scheme, and computes twenty-four error parameters of the MIMU, including zero bias, scale factor and installation error coefficient. The analysis of the experimental result shows that the precision of MIMU after calibration compensation can be improved by 1-2 orders of magnitude, which proves the effectiveness of the calibration compensation method.
A Four-point three-dimensional spatial localization algorithm based on RSSI
Authors: Ma Li , Cao Ning , Mao Minghe , Zhang Jianping 
Published: June 2020

Abstract
The three-dimensional positioning of nodes is a major and basic problem in wireless sensor networks. It has an important application value in areas such as search and rescue, target tracking, disaster reduction and intelligent environment. This paper presents a three-dimensional four-point centroid location algorithm based on RSSI. Based on signal strength between unknown nodes and known nodes, a received signal strength indicator (RSSI) propagation model in shadow mode is established. The Gaussian model is employed to RSSI. The signal strength is rectified to obtain a more accurate ranging model. In a three-dimensional space, a reasonable detection point is selected, and the centroid iteration algorithm is used twice. The weighted centroid algorithm is utilized for the first time and the average centroid algorithm is used for the second time to find the target. The coordinates of the nodes realizes the three-dimensional spatial positioning of the unknown nodes. Through simulation experiments, the positioning algorithm has improved accuracy and stability compared with the least square method and weighted centroid algorithm.
Research on Badminton Sports System Based on Wireless Sensor Network
Authors: Li Yunwei 
Published: June 2020

Abstract
Wireless sensor network is a self-organizing network system composed of nodes through multi-hop wireless communication. Deploying a wireless sensor network in the monitored area can complete sensing, data collection, and data processing in real time, and transmit the data processing results to the network terminal. This article studies the structure of the badminton sports system from the design perspective, and analyzes its technical characteristics and node software structure, wireless sensor network node structure, sports system architecture and functional characteristics. The system is deployed in the badminton sports venues to collect the movement parameters of badminton players in real time and perform timely and effective analysis to provide support for scientific decision-making in badminton training.
Transaction Data Management System based on Distributed Storage Architecture
Authors: Ji Yuan , Xia Tian , Zhang Honglue , Chen Gang 
Published: June 2020

Abstract
With the continuous development of application requirements and technologies, the differences between distributed storage architectures and traditional storage architectures are becoming increasingly apparent. The distributed storage architecture not only has the advantages of small fault impact range, high scalability, and large throughput, but also is widely used in many application systems. In the transaction data management system based on the distributed storage architecture, a large amount of transaction data information is transmitted and stored using the distributed storage architecture, which can effectively ensure the accuracy and consistency of the data. At the same time, the stability of the transaction data management system will be enhanced.
Design and Implementation of University Intelligent Library Based on Cloud Computing
Authors: Zhang Bin , Zhang Yuping , Zhang Shengjun , Yu Bing 
Published: June 2020

Abstract
With the development and wide application of the internet, the cloud computing technology with powerful functions has been initially applied in the fields of industry, agriculture, scientific research, medical treatment and so on. Its technical advantages undoubtedly bring the development power to the library. Intelligent library is the advanced form of intelligent library. Cloud computing service makes the user’s data storage and application software in the operation of the internet server, which makes the library network data high integration, intelligent and efficient. On the basis of discussing the basic meaning of cloud computing, we build a cloud service platform of Intelligent library and put forward the architecture design of modern and information-based intelligent library in the cloud computing environment. This paper discusses the function realization of university intelligent library based on cloud computing to provide some references for the innovative paths of university reader service in the new era.
RETRACTED: Application of artificial intelligence in computer network technology under the background of big data era
Authors: Xu Hao 
Published: June 2020

Abstract
The development of computer network technology is the trend of future social development, and the integration of artificial intelligence and computer technology, while enriching people’s daily life, has also become an inaccessible part of people’s daily life. Artificial intelligence technology is relying on computers The technology-based development was established, and because of its high intelligence, it has become one of the most promising technologies in computer networks. In order to accelerate the application of artificial intelligence in social production and life, and to facilitate production and life. Starting from the importance and necessity of artificial intelligence applications, the application status and its development advantages are introduced, and specific applications of artificial intelligence in computer networks are proposed.
Design and Implementation of Embedded Database Security and Reliability
Authors: Gao Zhang 
Published: June 2020

Abstract
This article analyzes the classification of common embedded databases, including SQLite embedded database, Berkeley embedded database, eXtreme DB embedded database, OpenBASE Lite, etc. By studying data replication and backup, embedded database recovery, embedded database backup design, detailed backup design and implementation, the purpose of this article is to improve the security of the database application process and the integrity of the information stored in the database.
Research on the Security Strategy and Technology of Information Resource Network of Chinese Academy Library
Authors: Zhou Donghua 
Published: June 2020

Abstract
This article briefly analyses the Security Strategy and Technology of Information Resource Network of Chinese Academy Library. At present, every country in the world is paying very close attention to the management of library Information resource network (IRN). Library Information Resource System is an important part of the information technology category. There are many risks in the library’s information resource system. In order to provide the users with the information accurately and timely, we need to develop a reliable and stable defense strategy.
Analysis of the Application of Machine Learning Algorithms in Data Mining
Authors: Xiaojun Chen , Jiang Bian 
Published: June 2020

Abstract
In the context of the era of big data, it is necessary to process information data more quickly to further develop various industries. At present, traditional data processing and calculation methods can no longer meet the requirements of modern big data calculations. With the increase of the amount of information data, the calculation and analysis methods of data are also growing, and machine learning algorithms are one of them. This article mainly expounds and analyzes the application of its learning algorithm in data mining.
Research on Practice Reform and Implementation of European Music History Course in Colleges and Universities Based on Music Feature Extraction Technology
Authors: Zhou Jie 
Published: June 2020

Abstract
The history of European music is one of the required subjects for music majors in colleges and universities, involving many cross-disciplines. As a part of the basic education curriculum of higher music discipline, the reform of European music history curriculum is imperative. As a part of the basic music education curriculum, the European music history curriculum is undergoing this transformation and will certainly find its own new development direction and space. The current music history curriculum practice reform is another important measure put forward under the background of the basic education curriculum reform. The development of the teaching practice reform of higher music education and the need of the development of the European music history curriculum itself require that the students’ participation in the practice teaching should be given full attention. The application of modern educational technology is an effective solution to improve the malpractice and quality of traditional music history teaching. Based on the technology of music feature extraction, this paper analyzes the reform and implementation of European music history curriculum in Colleges and universities.
Research on AGV Scheduling Optimization Based on Hungarian Algorithm
Authors: Liu Jiancheng , Wu Jian , Zhang Chengcheng 
Published: June 2020

Abstract
Aiming at some problems in the mode of intelligent warehouse multi-selection and order outbound, this paper proposes to optimize the picking station assignment order task and order task assignment AGV in a “serial” or “parallel” manner to realize the synchronous scheduling of order tasks and AGV. The improved Hungarian algorithm is used to solve the optimal assignment solution. Simulation proves that this strategy can effectively improve the order picking efficiency and avoid buffer blockage, thereby improving the efficiency of the dispatching system.
Research on Chaos Characteristics of Nonlinear Systems with Fractional Exponential
Authors: Lei Teng-fei 
Published: June 2020

Abstract
In this paper, a chaotic system with fractional exponential term is proposed according to the classical chaotic system. The bifurcation diagram, LE and attractor phase diagram of the system are analyzed by Matlab software. The numerical simulation results show that the system has rich dynamic characteristics, which provides a theoretical basis for the parameter selection of the system when applied to image encryption.
Chaos Analysis of Fractional-order System with Delay Based on Adomian Decomposition
Authors: Cao Feng , Lei Teng-fei 
Published: June 2020

Abstract
In this paper, fractional-order Lü chaotic system with nonlinear delay term is proposed, and the fractional-order Lü chaotic system with time-delay is numerically decomposed by Adomian decomposition. At the same time, the influence of fractional-order number on the system is verified. Then the bifurcation diagram, complexity and attractor phase diagram of the system are analyzed by Matlab software. The numerical simulation results show that the 0.9order system has rich dynamic characteristics, which provides a theoretical basis for parameter selection when fractional order delay system is applied to multimedia encryption.
Advanced Chinese Character Detection for Natural Scene Based on EAST
Authors: Zhang Jianxin , Feng Yunhai 
Published: June 2020

Abstract
Currently in the field of image vision processing, text detection and text recognition under natural scenes is a challenging task. At present, most of the research on text positioning is mainly aimed at English, and the detection and recognition of Chinese characters is relatively few. EAST text detection algorithm is simple in structure and high in accuracy. However, because of the feature extraction network, there is a small sense field, which cannot be well adapted to the text detection of Chinese characters. In order to adapt it to the natural scene Chinese character text detection, the feature extraction network of the modified EAST algorithm is Mobilnet-V2 and Resnet50, which increases the depth of the network and extracts more image features. The modified algorithm is tested on the dataset MSRA-TD500, and the obtained accuracy shows that the improved network performance is better than the original algorithm.
A 3D reconstruction method of image sequence based on deep learning
Authors: Liu Yun-peng , Yan Xing-peng , Wang Ning , Zhang Xin , Li Zhe 
Published: June 2020

Abstract
Camera calibration, image feature detection, matching and other aspects have become barriers that traditional 3D reconstruction methods are difficult to break through. The important role of deep learning in data detection and classification has a deep impact on the real world, and has become a research hotspot at home and abroad to deal with this problem. In this paper, a 3D reconstruction method of image sequence based on depth learning is proposed. Firstly, the principle and method of 3D reconstruction are introduced. Then, the new method of 3D reconstruction based on image is studied and discussed in combination with deep learning theory. Finally, the conclusion and prospect are given.