bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Heuristic Rule-based Control Strategy Using for Series Hybrid Tracked Vehicles
Authors: Zhai R Q , Zou Y , Zhang X D , Zhang Z G , Lei H H 
Published: July 2020

Abstract
A heuristic rule-based energy management for a series hybrid electric tracked vehicle is proposed and verified in this paper. Based on the results of equivalent consumption minimization strategy (ECMS), the new control strategy extracts the optimized control rules and considers the fuel consumption and battery manners together by adjusting the control mechanism. The series hybrid electric tracked vehicle model and the driving cycle are built in MATLAB/Simulink. The simulation results show that the proposed strategy have a better fuel economy and battery manner than traditional rule-based strategies. Compared with the equivalent consumption minimization strategy, the new method also shows the easiness and convenience, but a nearly close fuel consumption and battery manner. This heuristic strategy can show us its advantages and serve some experiences when designing the control strategies in practical application.
On-line Monitoring of GIS Using Fourier Transform Infrared Spectroscopy
Authors: Zheng Wenjie , Li Chengqi , Qin Jiafeng , Li Jie 
Published: July 2020

Abstract
Different decomposition component gases caused by different insulation defects in gas-insulated switchgear will accelerate insulation degradation, which is a major threat to human and equipment safety. In this paper, we proposed online monitoring of GIS based on Fourier transform infrared spectroscopy. Firstly, we analysed the absorption characteristics of infrared light in SO2 and moisture. Secondly, we introduce the design principle and signal stabilization method of the laser. Thirdly, we propose the methods for measuring the concentration of SO2 and moisture. Finally, experiments with various concentration of SO2 and moisture are deployed, which proves that the GIS on-line monitoring method for decomposed gas has small measurement error and can be applied in practical applications.
Construction of Typical Vehicle Use Environment based on Virtual Simulation Test
Authors: Kang Hao , Chen Youyi , Zhao Hailong 
Published: July 2020

Abstract
This paper puts forward the importance and advantage of using virtual simulation experiment to test the performance of vehicle environment. Through the construction of virtual pavement under different environments such as typical virtual test ground and wading test ground, the mobile performance experiment and capacity experiment of different types of heavy trucks were carried out, and the vehicle performance was evaluated as a whole. The virtual simulation test, by simulating the typical environment that may be encountered in the process of vehicle driving, collects the vehicle running state and driving parameters, studies and analyzes their performance, and provides an important basis for the improvement and improvement of vehicle design.
Variational Bayesian with Embedded Laplace Approximation for AR Model with Outliers
Authors: Wan Hongjie , Zhang Haiyun 
Published: July 2020

Abstract
The student-t distributed innovation is robust to Auto regressive (AR) observations with outliers. However, the characteristics of student-t distribution lead to unclosed solution while using Variational Bayesian (VB) to estimate the model parameters. This paper proposed to embed the Laplace approximation in VB framework to get closed form solution. Markov Chain Monte Carlo (MCMC) is a typical method to unclosed form solutions, while it is known that MCMC has large computation costs. The degree of freedom parameter (DOF) changes greatly before and after the outlier points has been deleted, so the estimation can be improved. Experimental results show that, more accurate estimation coefficients estimation are obtained using the proposed methods compared with using the Gaussian innovation, and more accurate estimation is obtained after the additive outlier is deleted.
Generative Decoding of Intracortical Neuronal Signals for Online Control of Robotic Arm to Intercept Moving Objects
Authors: Li Chenyang , Zhang Yiheng , Wang Tianwei , Xu Xinxiu , Wang Qifan , Xu Bradley , Cui He 
Published: July 2020

Abstract
Brain-machine interfaces (BMIs) are being developed for translating neural signals to control an external device such as a robotic arm. The prevalent decoding strategy of current BMIs is the continuously conversion of neural spike trains to motor variables via a discriminative algorithm, but this typically results in un-natural and slow robotic motion. Recently, we implemented a BMI under feedforward control for interception of moving targets, though the decoding accuracy was insufficient for accurate online control. To improve the BMI performance, a generative algorithm called Latent Factor Analysis via Dynamical Systems (LFADS) [1], was applied to data pre-processing for de-noising. The results indicate potential advantages of feedforward control with generative decoding in improving BMI design.
A Real-time Method on Robot with Continuous Trajectory for Low-drift Odometry and Mapping
Authors: Jialong Gao , Lei Sun , Xiaojia Xiang , Zhenyi Li 
Published: July 2020

Abstract
This paper mainly proposes a real-time method on the robot with a continuous trajectory for low-drift odometry and mapping, by using range measurements from a 3D laser scanner, but without any other external reference. The common problem of the classical simultaneous localization and mapping (SLAM) method based on lidar is that the estimation of position and attitude is prone to jump discontinuity. It is mainly caused by the vulnerable performance of the optimization solver while it is in a complex scene. By adding kinematic and dynamic constraints into optimization function, our method achieves a lower mean square error(MSE) compare with the original one, and it has been tested in an outdoor experiment with only 3.5% MSE in yaw relative to state of the art.
Research on the Framework Construction of Three-dimensional Cost Standard System of Power Grid Engineering based on the Computer Technology
Authors: Sun Anli , Xiang Chun , Yu Jianbo 
Published: July 2020

Abstract
In the process of power grid construction, the pressure of project cost management is increasing gradually. With the continuous updating of information electronic system, people have higher and higher requirements for power grid engineering. The construction task of power grid engineering is more important. Standards for grid engineering have been revised to a higher level. The construction cost of power grid project is also increasing year by year. After years of research and practice, researchers found that the construction of three-dimensional cost standard system is the main opportunity to help power grid engineering improve the overall level. Based on the computer technology and three-dimensional structure of power grid and the actual characteristics and application of power grid engineering, this paper describes the main standards for the construction of power grid engineering cost system. Finally, the guarantee of its future development is put forward.
A Study on the Relationship between Oil Micro-occurrence State and Oil Source in Low Permeability Tight Sandstone Reservoir Based on Computer Technology - a Case Study of Daqing Oilfield
Authors: Liu Chen , Sergeevna Chernova Oksana 
Published: July 2020

Abstract
Well logging is a method of measuring earth parameters using a variety of geophysical properties. In oil fields, it is often referred to as field geophysical exploration, petroleum and mineral geophysical or geophysical logging. The use of logging technology can reduce the workload of drilling and coring, improve the exploration speed and reduce the cost of exploration, so it is widely used in oilfield development activities. This paper takes Daqing oilfield, the largest oilfield in China since 1960s, located in the middle of songliao plain, as an example, and analyzes the application of logging method based on computer technology in oilfield development.
Research on Design and Optimization of Geotechnical Engineering Based on BIM(Building Information Model) Technology
Authors: Xu Cheng , Wang Wei 
Published: July 2020

Abstract
The BIM is short for “building information model”, first originated in America in the 1970 s. After the completion of the three-dimensional geological modelling of the project site, the section interception tool provided by the modelling software can be used to obtain the engineering geological map of any section. Different from the two-dimensional section results provided by the geotechnical engineering survey, the section obtained by the software is projected vertically with the information of all geotechnical layers in a rectangular box on the surface.
Based on Computer Aided Technology, the Analysis of Percolation and Oil Recovery in Peripheral Tight Reservoir and its Test Results
Authors: Liu ChunMei 
Published: July 2020

Abstract
Due to the relatively long time interval between the completion of mining and the flooding of bottom water, the identification of oil-water layer is difficult due to the same nature of formation crude oil, so the interpretation of oil layer is very challenging. In this paper, the boundary oil, injection oil and bottom oil propellants of each oil layer in the study area, as well as the oil source and inflow direction of the oil layer, are summarized by using computer aided technology according to the geological characteristics of the block and the characteristics of permeability and oil recovery. The resistivity of water injection, oil flooding at the side and the bottom decreased obviously. Secondly, the typical reservoir of the new well is determined by comparing the logging data of the same layer between the old well and the new well and combining with the production dynamic test results of the adjacent old well. The logging response characteristics of the reservoir are analyzed, and the sensitive parameters such as deep lateral resistivity, shallow lateral resistivity, deep lateral resistivity amplitude difference, deep lateral resistivity, flush resistivity amplitude difference are optimized.
Application of Computer Artificial Intelligence Control Technology in the Comprehensive Utilization of Green Building Energy
Authors: Gao Dehao 
Published: July 2020

Abstract
In order to meet the needs of capital city construction and development, this paper studies the problems of building energy conservation from the aspects of computer intelligent control, green energy-saving building and integrated system of new energy utilization. Using computer intelligence to establish a comprehensive utilization of renewable energy demonstration system, namely the heat pump technology, building CCHP and total heat exchange ventilation system, set up a computer intelligent monitoring system, monitoring and control of building energy consumption, indoor heat and humidity environment, air quality and energy system, optimize the system operation[1].
Research on the Autonomous Learning Mode in the Environment of Computer Network Technology
Authors: Ni Eryan 
Published: July 2020

Abstract
Autonomous learning is an important part of basic education for all. At the same time, with the continuous development of computer network technology, it provides a new model for autonomous learning to some extent and improves the efficiency of learning. This paper mainly studies the needs of residents’ autonomous learning under the computer network technology environment and how to combine computer technology for efficient autonomous learning. Through the analysis of this paper, for the students to create a good learning atmosphere, provide reliable learning guidance, and how to implement the “happy learning”, “learn well”, “learned” as the guiding goal of the educational training model to provide reference.
Application Research of Big Data Analysis Technology in Oil and Gas Field Development
Authors: Hu Feiyuan , Hao Chenxi , Huo Xiaoju , Chen Yan 
Published: July 2020

Abstract
The goal of oil and gas field development is to maximize the benefits of exploitation work. In some large oilfields entering the mid-to-late development stage, to maximize the input-output ratio of oilfield exploitation, in oilfield development work, you will receive Due to the influence of many interference factors, in the field of oilfield exploitation, it is necessary to reduce the economic cost of oil and gas field exploitation as much as possible and continuously improve the economic benefits of oilfield mining units. In the mid-to-late production of oil and gas fields, the use of big data to establish a reasonable and scientific production plan for oil fields and an effective decision support system provide an important guarantee for the development and production of oil and gas fields in the middle and late stages. Through the use of effective production-increasing technology and production decision-making, comprehensively consider some oilfield mining areas and newly-added resource mining areas, comprehensively optimize and set up the development of oilfield resources in the middle and late stages and use big data technology to develop oilfields. Among them, the resource advantages are effectively transformed into economic advantages, in order to provide a good work plan for the middle and late stages of oilfield development.
RETRACTED: Study on the Formation Process and Effect of Tactical Performance Ability of Youth Training Team Based on Big Data Analysis
Authors: Peng Feng 
Published: July 2020

Abstract
Football is not only an important way to enhance international communication and the physical quality of the whole people, but also to enhance the feelings between people, strengthen unity, and create a positive fighting spirit. The article first briefly describes the current situation of domestic football development, then points out the great influence of football in world politics, economy, culture and its incredible commercial value, and combines the development of big data to train and evaluate the tactical play and consciousness of the youth training team. And get the positive effect of big data on the training effect.
Innovation and Practice of MOOC System Construction in Meteorological Industry
Authors: Jing Guodong , Zou Liyao , Ji Wenbin , Zhao Yongming 
Published: July 2020

Abstract
China Meteorological Administration-Massive Open Online Course, CMA-MOOC is an industry-oriented, international-oriented and public-oriented networked learning system of China Meteorological Distance Education Platform, which is hosted by the China Meteorological Administration Training Center of China Meteorological Administration. The CMATC provides technical support throughout the long-range international training on national observation equipment support along the “Belt and Road” and the demonstration training on nowcasting techniques for severe convective weather in ASEAN countries, successful completion of the first online cross-border training for meteorological distance education. The World Meteorological Organization, WMO Education and Training Office, appreciates this new initiative and shares within WMO innovative practices in international training for cadre colleges.
Research on Cognitive Radio Spectrum Sensing Security Mechanism Based on Blockchain
Authors: Zhang Guowei 
Published: July 2020

Abstract
In cognitive wireless networks, the collusion attack of malicious users has brought great challenges to the safety perception of the spectrum. Based on the analysis of the characteristics of existing attacks, a hypothetical analysis of possible attack behaviors, and the effective combination of blockchain technology and existing mechanisms are introduced, and a new secure spectrum sensing method based on blockchain technology is proposed. This method can treat the user’s historical interaction as a public ledger, and effectively monitor the user’s collusion attacks.
Cost Control Analysis of Manufacturing Enterprises Based on Computer Aided Technology
Authors: Liu Hongmei 
Published: July 2020

Abstract
With the advent of the new socialist era, China’s manufacturing industry is facing the challenge of transformation and upgrading under the new economic background. However, the development of computers has provided a huge impetus to China’s manufacturing industry. Facing the global market competition, the manufacturing industry, as a stabilizing force of the real economy, should not only develop vigorously with the support of national policies, but also rely on the development of computer aided technology. Cost is closely related to the benefits of an enterprise[1]. Therefore, scientific and reasonable cost control and management may directly affect the economic benefits of an enterprise and further improve its core competitiveness. The purpose of this paper is to realize cost control more effectively under the promotion of computer aided technology.
Computer Model and Analysis on Pavement Performance and Pavement Structure of Polypropylene Fibre Material Concrete
Authors: Liu Hongxia , Wang Na 
Published: July 2020

Abstract
With the great progress of road construction ability and construction technology, new materials are constantly developed, the choice of road surface materials is more diversified, and the pavement structure is more reasonable and the performance is more optimized, which brings great convenience for the first paving and later maintenance of the road. In this paper, by studying computer modeling and analysis technology, the polypropylene fiber concrete pavement in the road is analyzed and studied, and the experiment is designed in detail to describe the current actual situation, and the conclusion is drawn for study and research reference.
Particle Swarm Optimization for Solving Medical Image Reconstruction Ill-conditioned Problems
Authors: Li Hongyan , Wan Zhonglin 
Published: July 2020

Abstract
Particle swarm algorithm applies to the field of computer neural networks a lot. In this paper, the medical image is used as an example to realize the modeling process based on the particle swarm algorithm. For the modeling and simulation analysis of medical images, the geometric model accuracy and physical model accuracy need to be solved. The mobile cube (MC) algorithm is used for surface reconstruction. At the same time, the quadratic error measurement (QEM) method is used to reduce and smooth the triangular patch. The Delaunay method is used to deduce the volume mesh model based on the surface mesh. and finally, the corresponding physical model is selected according to the target organization to use the finite element (FEM) method for analysis, and uses OpenGL to display the cloud chart of the equivalent stress. The analysis results show that the function and metabolism of human tissues and organs can be more accurately understood through the reconstruction of SPECT medical images.
RETRACTED: Building the Training System of Physical Education Innovation Ability in Higher Vocational Colleges Based on Computer Information Technology
Authors: Ma Hui 
Published: July 2020

Abstract
The rapid development of computer information technology is promoting the progress of all aspects of society, sports and physical education are not outside, but is using computer information technology to gradually innovate and walk with the times. In this paper, the author expounds the demand of the development of physical education for the application of computer technology and the importance of the establishment of the innovation system of physical education development to society, education, health and individual.
RETRACTED: Evaluation Method of Campus Football Implementation Effectiveness Based on Computer Simulation Model
Authors: Xu Jia 
Published: July 2020

Abstract
Campus football is an important part of football reform in China, which undertakes the arduous task of promoting the all-round development of students and training football reserve talents. However, at present, there are few studies on the evaluation methods of the implementation effect of campus football in China, and the construction of a complete and scientific evaluation system of the implementation effect of campus football is not perfect, which seriously restricts the sustainable and healthy development of campus football. Therefore, this paper analyses the problems existing in the development of campus football, and discusses the possibility of applying the computer simulation model to the evaluation method of the implementation effect of campus football. On this basis, this paper puts forward the basic principles and key evaluation indexes of the implementation effect evaluation method of campus football, and constructs the structural equation model of the evaluation method, which provides a solid theoretical support for the evaluation of the implementation effect of campus football and the high-quality development of campus football.
RETRACTED: Research on the Integration of Chinese and Russian Original Ecological Dance Elements and Modern Elements Based on Computer Big Data Analysis
Authors: Li Jingbo 
Published: July 2020

Abstract
China, with its vast territory and long history, retains a large number of original dances. Russia is China’s neighbor with a vast territory, and there are also a large number of original ecological dances preserved from history. If the original ecological dance elements of China and Russia can be combined with the modern elements, the dance effect will be brought out to the common. Therefore, this paper analyzes the original ecological dance elements and modern elements in China and Russia by using the computer big data technology, and studies how to better integrate the two.
Research on Key Technologies of Performance Monitoring and Operation and Maintenance of Optical Fiber Transmission Network Driven by Big Data
Authors: Zhao Jinghong , Jin Lei , Liu Dong , Cheng Shuo 
Published: July 2020

Abstract
The traditional network operation and maintenance technology is that the administrator passively waits for the network fault to report and then carries on the emergency treatment. This method lacks active mechanism and has many disadvantages in dealing with network communication failure. The low timeliness of operation and maintenance reduces the reliability of network communication operation and maintenance to a certain extent, so it is particularly urgent to explore the research of network communication operation and maintenance technology driven by big data. This article describes the difference between several different transmission modes in the field of optical fiber communication, and discusses the related factors that restrict the reliability and timeliness of the optical fiber transmission network. On this basis, this paper analyses the possibility of integration of big data technology and the optical fiber network, and lists the typical application of big data technology in the optical fiber network, which provides a new thinking direction for the performance monitoring and operation maintenance of the optical fiber network.
A study on Strategies of Stimulating Students’ Participation in English Teaching Based on Computer Information Technology
Authors: Wu Jingling , Wu li , Jiang Xiujuan 
Published: July 2020

Abstract
Improving students’ participation and enthusiasm in class can help students better learn and master knowledge and improve teaching quality. Therefore, how to stimulate students’ participation and enthusiasm in class has long been a hot issue in the field of education, especially in the process of English teaching. Thanks to the development of computer technology, we are provided with more research practices. By using computer technology to analyze the application of computer information technology in English teaching, this paper studies how to stimulate students’ participation in class.