bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distribution Network Optimization Planning Based on Genetic Algorithms
Authors: Liu Yangyong 
Published: April 2021

Abstract
Nowadays, with the development of the times, many times we will use new technology to facilitate our lives, and as a closely related part of our lives - electricity, let alone, it can be said that the pillar of modern society is electricity, if there is no electricity we will collectively return to the original society. However, with the development of the times and the increase of electricity scale, the load of power supply system is getting bigger and bigger, but there is a lot of electricity wasted, so the purpose of this paper is to use genetic algorithms to optimize the distribution network planning. This paper explores how to reasonably optimize the plan by retrieving relevant literature at home and abroad and consulting relevant examples, and then analyzes the experimental data by obtaining some data to simulate the real situation by using sandbox simulation and genetic algorithm modeling. Experimental data show that the distribution network optimization planning scheme designed by genetic algorithm will reduce the original loss by 40%.
The Application of Deep Learning in Image Processing is Studied Based on the Reel Neural Network Model
Authors: Xu Nan 
Published: April 2021

Abstract
In recent years, with the deepening of deep learning reform and the rapid development of reeling neural network technology, the model applied by deep learning has been greatly different from the traditional, the original learning program and learning model need to be developed and changed with the progress of the times. Therefore, the purpose of this paper is to rely on the network model derived from the deep learning of reel neural networks to solve the problems in the field of image processing. Based on the technical safety code and data security protection of reticulation neural network, this paper learns in depth the computing power of reel neural network while taking into account the deep learning corresponding to the refragstortic neural network model, and then collects, organizes and analyzes the information related to image processing, uses sandbox simulation operation, modeling, and a variety of intelligent algorithms to get the final result. This paper mainly uses the target detection algorithm to experiment. The experimental results show that the application of co product neural network model deep learning in image processing can be improved more effectively by using suitable algorithms.
The Application of Big Data in Electronic Information Engineering
Authors: An Sha 
Published: April 2021

Abstract
With the development of Internet of things, more and more people pay attention to big data. Electronic information engineering is mainly about the acquisition and analysis of information. In this information age with explosive growth, a large number of data need to be correctly and reasonably analyzed by electronic information engineering combined with big data technology. Therefore, this paper proposes the application research of big data in electronic information engineering. Through in-depth study of big data related technologies, this paper constructs NoSQL data aggregation model, analyzes the importance of big data technology and the application of big data technology in electronic information engineering technology, and draws a conclusion that about 60% of people think big data technology is very important, and the application of big data in electronic information engineering technology accounts for 40%. The research in this paper is helpful to promote the progress and development of electronic information engineering and improve the profitability of enterprises.
Evaluation Scheme of Live Load Standard of Railway Bridge Based on VR Technology
Authors: Hu Rong 
Published: April 2021

Abstract
With the rapid development of China’s railways and the extension of high-speed railways in all directions, China’s railway departments have realized that the original design concept and design load can no longer meet the current requirements of railway operation. This paper mainly studies the design of the live load standard evaluation scheme for railway Bridges based on VR technology. This paper first introduces the theory of load experiment and analyzes the live load experiment and its standard in detail. Then, this paper analyzes the live load standard evaluation scheme of railway Bridges under VR technology, and carries out experiments. The experimental results show that when the spacing between main beams is 2.1m and 4m, the empirical distribution does not reject the test of normal distribution, lognormal distribution and extremum-I distribution, but the test value of normal distribution is the smallest, indicating that the distribution type of transverse distribution coefficient of load is closer to normal distribution. The results of this paper are helpful for the railway departments to carry out live load experiments on railway Bridges and promote the development of load evaluation of railway Bridges.
Electrical Automation Technology in Smart City
Authors: Wang Yanli 
Published: April 2021

Abstract
Since the beginning of this century, with technology and data as the core, the urban transformation plan of “smart city” has emerged, which is aimed at realizing a more convenient, efficient and accurate life of human beings. However, the current practice of global smart cities tends to rely on technology excessively, and blindness and homogenization are common. The importance of electrical automation technology in the field of modern industrial production is very obvious, and the demand for talents is also expanding. This paper describes the concept of electrical automation and smart city, designs and tests an electrical automation system based on smart city model. After testing, the transmission success rate of the system is more than 80%, and the real-time data measurement deviation is about 5%, which can meet the basic needs.
Application of Computer Multimedia Technology in Track and Field Teaching and Training
Authors: Xia Huang 
Published: April 2021

Abstract
The 21st century is an era of information explosion, and the multimedia technology is also growing vigorously. It not only changes the conditions of many industries, but also brings a completely new innovation to the education industry. The advent of Computer multimedia technology has brought about a qualitative change in educational concepts and ideas. It has brought opportunities and challenges to educators, as well as efficiency and science to students. Students no longer accept the knowledge singly and passively, and do not need to be restricted by the age of teachers and teaching methods. With the assistance of Computer multimedia technology, college track and field teaching and training will have a new look, allowing students to devote themselves to learning more willingly, and the vast and abundant technical resources also allow students to get more high-quality and advanced teaching materials. Because Computer multimedia technology has an obvious influence on track and field teaching and training, this paper will discuss the track and field teaching and training. First, it will discuss the necessity of integrating Computer multimedia technology into track and field training, and then talk about the great significance of Computer multimedia technology in the track and field teaching and training. Finally, it puts forward some constructive suggestions for the better integration of Computer multimedia technology with track and field teaching and training and to maximize the effect. I hope that we can contribute to the physical education cause in the motherland.
The Application of Multimedia and Network Technology in Practical Writing Teaching of Higher Vocational Education
Authors: Tian Cuicui 
Published: April 2021

Abstract
With the rapid development of global multimedia technology and Internet technology, the world has entered a new information age. The great development of the Internet industry, information equipment and intelligent mobile equipment has brought new impacts and opportunities to people’s lives and has a great impact on people’s daily life, work and learning. These also deeply affect and urge the educational progress and development of higher vocational colleges in China. The practical writing in higher vocational colleges is the basic course of higher vocational colleges, and the development of its teaching mode has been in the bottleneck for a long time. This paper aims to analyze the advantages and feasible measures of the combination of practical writing teaching and the advantages of multimedia and network technology in the information age, to express my own opinions on the development of the practical writing teaching mode in higher vocational education.
Road Obstacle Detection in Bad Weather Based on Deep Learning
Authors: Jiao Shuangjian , Wang Lingling 
Published: April 2021

Abstract
With the progress of the scientific era, people’s way of travel has become more diverse, not like the ancient carriage travel, but now the car, bus, train, high-speed rail, aircraft and so on for people to choose more, but the emergence of science and technology is like a double-edged sword, the convenience of travel mode will lead to traffic congestion, especially in bad weather In this paper, the deep learning method is used as the basic prediction algorithm to realize the road obstacle detection in bad weather. Under the influence of bad weather, people cannot judge the obstacles clearly, and 87 traffic accidents have occurred in two and a half years, The average number of accidents per day is 1.2, which is higher than that of 1.1 accidents / day in normal weather. The average number of accidents increases by about 20%.
Application of Artificial Intelligence Technology in Electronic Information Engineering
Authors: Wang Nan 
Published: April 2021

Abstract
In the development process of artificial intelligence, electronic information engineering technology is indispensable. Electronic information engineering technology support is extremely important for the development of artificial application. This paper describes the related concepts of artificial intelligence and electronic information engineering, and researches and designs the application of artificial intelligence technology in the electronic information engineering platform. Through the analysis, we can see that the system is not There are fatal loopholes, the success rate of data transmission basically meets the demand of more than 80%, and the response time is within 3S, which can also meet the set requirements.
Students Performance Prediction by Mining Behavioural Pattern
Authors: Sun Huanliang , He Shi , Esho Olaoluwa 
Published: April 2021

Abstract
Analysing and monitoring students’ progress and performance is an active research area in educational data mining. Some research work uses direct construct relating to academic achievements such as GPA, SAT in predicting performance while others make use of psychometric construct in measuring skill and knowledge, ability and educational achievement from data gotten from questionnaires. In this paper, we propose the use of psychometric construct as a method of extracting non-cognitive features from campus check-ins data in predicting academic performance of college students. A P-FRAME framework was developed and non-cognitive attributes extracted through psychological theories were used as the predicting variables. The extracted variable was applied to various penalized regression algorithm and the results were compared. The result of our experiments showed a high correlation between the actual score and the predicted score which is within 2:0 of reported score.
Application of Computer Vision Technology in UAV
Authors: Luo Bo , Wang Xudong , Zhang Zhiyuan 
Published: April 2021

Abstract
With the improvement of computer ability and the rapid development of computer vision technology, UAV has been widely used in other industries from the initial military field. At present, the most widely used UAV navigation is the global positioning system (GPS) of the United States, which can be easily interfered by human beings, resulting in certain errors. At present, there are four landing methods for manned aircraft, but no matter which one is, its concealment is poor. At the same time, compared with manned aircraft, UAV is generally smaller in size, so it is unable to follow the domestic microwave radar equipment in China. Through literature review, the origin and development of UAV and computational vision technology are comprehensively reviewed. The application of computer vision technology in agriculture, power, transportation, environmental protection, rescue, entertainment and other fields in recent years is summarized. The relevant survey data are analyzed and presented in the form of chart. Through the data, we can clearly find that the combination of computer vision and UAV still has a lot of room for improvement in the future.
English Translation Effect Evaluation System Based on Big Data
Authors: Xudong Wang 
Published: April 2021

Abstract
In recent years, ontology has been widely used to model world knowledge at the conceptual level. In recent years, machine translation has been widely used. This paper focuses on the evaluation of machine translation system. This paper reviews and compares the types and standards of machine translation, the content of system evaluation, and the main methods of system evaluation. The experimental results show that a high-quality machine translation system must fully integrate linguistic knowledge and language neutral world knowledge. This paper introduces an ontology based English Chinese machine translation model system, which organizes concepts into a hierarchical structure and establishes rich conceptual connections among concepts. The accuracy of machine translation is improved by mapping words in a language to concepts in ontology. The experimental results show that the accuracy of machine translation can be improved by 10.8%.
Research on Online Course Information Acquisition of Engineering Cost Based on Virtual Simulation Technology
Authors: Yang Min 
Published: April 2021

Abstract
The Ministry of Education proposed to deeply integrate higher education and information technology, and the traditional education mode also changed qualitatively with the introduction of virtual simulation technology, making educational technology more suitable for the development of modern society and the goal of talent training. Through the research on the application and practice of virtual simulation technology in the core course teaching of engineering cost specialty, virtual simulation teaching has the advantages of high efficiency, low cost, rich content, effective performance and safety, etc., and it can make the whole building change the observation through the 3d simulation animation display. By summarizing the teaching process of introducing virtual simulation technology into engineering cost course, this paper puts forward some problems that need to be further studied in the teaching process of introducing virtual simulation technology into engineering cost course, points out its advantages in the teaching process of engineering cost course, and summarizes the full text.
Tourism Management System Based on mobile Internet
Authors: Gui Xuefei 
Published: April 2021

Abstract
With the development of cloud computing, Internet of things, mobile communication, mobile Internet and other technologies, the development of intelligent, multi-dimensional and all-round tourism management information system has become the development trend of tourism informatization. This paper studies and realizes a mobile, information, intelligent and personalized intelligent travel service system for tourism industry by comprehensively utilizing the tracking and registration technology based on location and multi-sensor, tile map technology, 3D landscape map technology and virtual reality Superposition Technology of mobile augmented reality system. The system can provide a new perspective for tourists to understand the surrounding landscape and get a new interactive experience. The system includes three-dimensional landscape map, virtual roaming, route navigation, environment identification, historical building query, thermal map display, friend footprints, personal trajectory, Wechat sharing and other functional modules. Tourists can enjoy more convenient travel services at the same time. The model proposed in this paper has a certain reference value for the study of tourism management system.
Construction and Research of Digital Archives Cloud Platform Based on Big Data Management
Authors: Sun Yazhi 
Published: April 2021

Abstract
Cloud computing has the characteristics of super computing power, low cost and high security, as well as providing powerful data storage and network services. In the commercial field, it has begun to take shape. This paper attempts to introduce cloud computing technology into the construction of digital archives, analyzes the possibility and reality of the application of cloud computing technology services in the service and management of digital archives from the common point of view of cloud computing services and digital archives, and puts forward the corresponding ways of cloud computing application in digital archives. This paper analyzes and integrates all kinds of risks that digital archives may face under the cloud computing environment, and establishes the security evaluation index system including the security elements of information system and cloud computing technology. In this paper, fuzzy comprehensive evaluation method is used to evaluate the mathematical model of cloud digital archives security evaluation system, and a set of security evaluation system suitable for cloud digital archives is proposed.
Research on Image Rotation Recognition Based on Histogram Feature Description
Authors: Zhou Chunrong 
Published: April 2021

Abstract
Image recognition is a statistical pattern recognition problem in pattern recognition, which mainly includes four steps: image acquisition, preprocessing, feature extraction and selection, and pattern classification. In this paper, an omni-directional sequential feature description method based on F histogram is proposed. In this method, shapes are segmented by directional lines in all directions, the sequential feature description quantity between object segmentation segments in each direction line is calculated, the omni-directional sequential feature description quantity of shapes is constructed, and the similarity between shapes is calculated. In this method, the normal vector histogram is used as the point cloud feature descriptor, which can optimize the search of the corresponding point set, thus improving the ICP algorithm. By selecting the appropriate expansion center and expansion order, the recognition ability of the filter is improved. At the same time, using the concept of image moment, the characteristic moment vector of the target is constructed to identify the target with in-plane rotation and scale change. Based on the optimization strategy based on histogram feature description, the recognition speed of the algorithm is significantly improved.
Multilayer magnetic shielding for testing a superconducting single-flux-quantum circuit chip in liquid helium dewar
Authors: Wei L. , Wang G. , Li J. , Zhang S. , Hong G. 
Published: April 2021

Abstract
In order to reduce the influence of environmental magnetic field on the test of superconducting single-flux-quantum (SFQ) circuit chip in a liquid helium dewar, a multilayer magnetic shielding structure is designed to provide a clean magnetic field lower than 50 nT and achieve a shielding effectiveness higher than 60 dB. The magnetic shielding structure consists of three cylindrical layers with uniform 1 mm thickness. The first inner layer is made of NbTi which works as a strong diamagnet shell, while the outer two layers are made of permalloy which has high permeability at helium temperature. The superconducting quantum interference device (SQUID) was used to test the shielding performance of the structure under low frequency (0.1–100 Hz) magnetic interference at helium temperature. The results show that the radial and axial shielding effectiveness (SE) are about 80 dB and 68 dB, respectively, indicating that the multilayer structure has good shielding performance and can be used in the testing system of superconducting single-flux-quantum circuit chip.
Using a Tuned-Inerto-Viscous-Hysteretic-Damper (TIVhD) for vibration suppression in multi-storey building structures
Authors: Deastra P , Wagg D J , Sims N D 
Published: April 2021

Abstract
This paper explores the use of a novel tuned-inerto-viscous-hysteretic-damper (TIVhD) for reducing the seismic response of multi-storey building structures. The TIVhD is an inerter-based damper device consisting of a linear hysteretic damper connected in series with an inerto-viscous damper. The layout of TIVhD is similar to that of tuned-inerter-hysteretic-damper (TIhD) with an additional viscous damping element in parallel with an inerter. The design is motivated by the fact that most inerter designs cannot completely remove the parasitic damping due to friction, fluid compression, etc. Moreover, the use of linear hysteretic damping is considered to be a more realistic approach when material damping is present. In this paper, the TIVhD is installed between the ground and the first-storey and is tuned by firstly assumed the viscous damping coefficient to be zero. Then the other three parameters are optimised following the tuning procedure of the TIhD that is based on the fixed-point theory with additional fine-tuning procedure by targeting the first vibration mode of the multi-storey structure. The optimum TIVhD parameters are finally obtained using two scenarios: (1) amplifying its viscous damping coefficient and stiffness while keeping the inertance constant; (2) amplifying its inertance and stiffness while keeping the viscous damping constant. Both scenarios are aiming at the same reduction level of that given by the TIhD. Finally, the effectiveness of the TIVhD on reducing the structural response is demonstrated for both harmonic and seismic base excitation cases in the time domain. This has been made possible by a newly developed time domain response of linear hysteretic damping via the Hilbert transform and a time reversal technique.
Analytical fragility curve development of maternity and children’s M. Djamil Hospital building Padang due to earthquake and tsunami
Authors: Utami A C , Kurniawan R , Fauzan  
Published: April 2021

Abstract
M. Djamil Hospital is the largest public medical facility in Padang area with over 800 patient beds. The magnitude 7.6 Western Sumatra earthquake of September 30, 2009 caused the first floor of one housing outpatient services collapsed. Padang city is located in West Sumatra province which is recorded as an earthquake and tsunami prone area in Indonesia. Risk reduction strategy can be implemented by assessing the vulnerability of building through fragility curve. In this study, the fragility curve was carried out to an existing Maternity and Childrens’s M. Djamil Hospital building due to earthquake and tsunami in sequence. Building’s structural was modelled in ETABS v. 17 and analyzed by using Pushover analysis and Nonlinear Time History analysis. This structural model was subjected through a total of 40 ground motion data from El Centro, Northridge, Kobe and Padang. Each ground motion data was normalized from 0.2g to 2.0g of peak ground acceleration and continued with tsunami load. Analysis results consist of drift at yield point and structure maximum drift, which are then generated into a fragility curve based on Hazus standard. The result of earthquake fragility curve represents that the probability of slight damage level is 100%, moderate 100%, extensive 92% and collapse 5.4%. Meanwhile, earthquake-tsunami fragility curve represents the probability of slight damage level is 100%, moderate 100%, extensive 98% and collapse 11%.