bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the technology of terrain classification and change detection based on deep learning
Authors: Wang Xiao-Nan , Zhang Qiang , Wang Feng-Yu , Gao Yang 
Published: August 2020

Abstract
With the rapid development of urbanization in China, the change of land property is very rapid. The detection of land change is helpful to the government’s supervision and the development and protection of land resources. The traditional methods of land feature classification and change detection of remote sensing image generally adopt the methods of manual annotation and recognition. Due to the performance defects, they can not meet the requirements of remote sensing image business application. In this paper, the technology of satellite remote sensing image feature classification and change detection based on deep learning is proposed, and several demonstration cases of automatic classification and change detection system of buildings, roads, water bodies, forest land and other features based on high-resolution remote sensing image are formed. Relevant research results show that the technology can meet the requirements of remote sensing image classification and change detection, and the accuracy of the review is more than 90%.The method adopted can effectively solve the application needs of related fields.
Research on Key Technologies of Knowledge Graph Construction Based on Natural Language Processing
Authors: Wang Guilei , Tao Yue , Ma Haixu , Bao Tong , Yang Jingmiao 
Published: August 2020

Abstract
As we all know, building a domain knowledge graph from a large amount of text requires a very large amount of work, including entity recognition, entity disambiguation, relationship extraction, and event extraction, etc. It is difficult to build a very comprehensive domain knowledge graph from scratch. Fortunately, with the rapid progress of natural language processing technology, we can use a large number of natural language processing tools to help us build a domain knowledge graph. This article mainly studies the extraction of domain terms in the process of constructing the knowledge graph. The natural language processing techniques used are mainly new word discovery, word segmentation, and keyword extraction. This paper improves the existing imperfect natural language processing technologies and applies them to the process of constructing the domain knowledge graph in order to construct the domain knowledge graph accurately and efficiently.
Development and application of HVDC Cable polarization/depolarization current detecting instrument
Authors: Huichao Ma , Li Jianli , Yin Liqiu , Zhang Hui , Xue Kun 
Published: August 2020

Abstract
In order to test the insulation state of 6kV XLPE cable reliably, the system design and related test work are carried out in this paper. High voltage excitation source, weak current test module, data acquisition system, communication, power supply and other hardware design work are described. The control of high voltage signal, switching of measurement mode, data acquisition of current and software design of man-machine interface are introduced. Finally, the designed test instrument is presented, and the field test results show that the home-made polarization and depolarization current (PDC) instrument can be used for testing, and the overall test performance is relatively good.
Research on Hybrid Cascaded Multi-terminal HVDC Transmission and Its Dynamic Model Test
Authors: Zhan Rong-Rong , Liu Long-Hao , Dou Qiong-Zhu , Zhang Lei , Bai Lei-Cheng 
Published: August 2020

Abstract
Hybrid cascaded multi-terminal DC transmission topology scheme adopts LCC converter at the rectification side, inverter side uses high-end LCC converters in series with low-end multiple VSC converters. This topology solution can make full use of the advantages of LCC and VSC technology. As a new generation of HVDC transmission technology, hybrid cascade multiterminal still has many key technologies to broken. Through the development of hybrid cascade multiterminal HVDC dynamic simulation test system, the start-up, shutdown, high and low valves switching-back and DC fault self-cleaning of hybrid cascade multiterminal HVDC transmission are studied and tested. It provides technical support for the engineering application of hybrid cascade multi-terminal HVDC transmission technology.
An Efficient Organization of Configuration for CGRAs Applied to Block Ciphers
Authors: Liu Xinliang , Yang Jinjiang 
Published: August 2020

Abstract
An efficient organization of configuration is proposed to decrease the size of configuration memory and the time of configuration transmission. Different block ciphers are analysed. And, computing features of algorithms are summarized. Then, the configuration is organized according to the heterogeneous Processing Elements (PEs). It is applied to a coarse-grained reconfigurable architecture (CGRA) which is implemented under TSMC 40nm CMOS technology to compare with similar work. The comparison results show that the configuration capacity decreases with the proposed organization structure. Configuration capacity of the algorithm is reduced by 90.93% to 96.91%.
Improved DSVPWM strategy for transformerless three-level grid-connected inverter
Authors: Li Zhang , Sun Junbin 
Published: August 2020

Abstract
Aiming at the leakage current problem in the transformerless three-level grid-connected inverter, an equivalent model of the common-mode circuit is established, and the analysis shows that in addition to the common-mode voltage, the fluctuation of the neutral point voltage is also an important reason for the leakage current. Therefore, an improved DSVPWM strategy is proposed, which introduces a non-basic vector in the same sector as the synthesized reference vector. This not only makes up for the shortcomings of the traditional DSVPWM strategy that cannot balance the neutral point voltage due to the lack of redundant vectors, but also retains the advantage of halving the common-mode voltage amplitude in the traditional strategy, because this introduced vector is the basis vector for other sectors. In order to prevent the total vector action durations from overflowing and reasonably allocate the duration of each vector action, a corresponding neutral point voltage balance algorithm is designed, so that the neutral point voltage is effectively controlled, and the leakage current is greatly attenuated. Simulation results verify the effectiveness of the proposed improved modulation strategy.
Research on Key Technologies of On-line Oxygen Concentration Measuring Instrument
Authors: Zhang Yuan-Zheng 
Published: August 2020

Abstract
When applied in a coal mine, oxygen concentration monitoring will be affected by changes in temperature and pressure, which will cause large deviations in the measured values. In this paper, by integrating oxygen concentration monitoring, temperature monitoring, and pressure monitoring, by finding the functional relationship between the oxygen concentration monitoring value and the pressure value and temperature value at different pressures and temperatures, the effect of temperature and pressure changes on the measurement accuracy of oxygen concentration is eliminated. Based on the analysis of the influence of ambient temperature and pressure, a method of temperature and pressure compensation is proposed. It has been tested that the thermal stability time of the oxygen sensitive element is controlled within 30s, and within the range of (-10 ˜ 50) ° C and (50 ˜ 120) kPa, the measurement error of the compensated oxygen concentration is less than 2.5% FS.
RETRACTED: Reflections on the Development of Rural E-commerce and the Cultivation of Professional Farmers in the Era of New Media
Authors: Wu Ze-Yu , Tan Linhao 
Published: August 2020

Abstract
The advent of the new media era has also created the necessary conditions for the development of rural e-commerce, but it has also brought certain challenges. In the process of new rural construction, we also need to promote the development of rural e-commerce, strengthen the cultivation of professional farmers, and promote rural consumption levels and industrial development. These things are also very important for achieving the goal of modern countryside. This article mainly explores and analyzes the development of rural e-commerce and the cultivation of professional farmers in the new media era.
A new solenoid valve application in smart toilet
Authors: Zhu Wenqing 
Published: August 2020

Abstract
Solenoid valve is an important part of smart toilet, which plays a very important role in smart toilet products. The influence of comprehensive performance for solenoid valve on the quality of smart toilet is detailed analyzed, the structure of new solenoid valve is designed, comprehensive performance testing system of the solenoid valve is developed, and comprehensive performance for new solenoid valve is tested by using testing system. The test results prove that the new solenoid valve has good comprehensive performance; meanwhile, it also verifies the generality and reliability of comprehensive performance testing system of the solenoid valve.
Design of Testing Device for Anisotropic Friction Characteristics of Composite Materials
Authors: Yao Liang , Qu Ju-Xin , Meng Lijun , Yao Xiao-Guang , Li Hong-Bin 
Published: August 2020

Abstract
In order to meet the rapid and accurate measurement of anisotropic friction characteristics of composite materials, based on Coulomb’s friction theorem, a new type of testing device for friction characteristics of composite materials is designed with the speed control of servo electric cylinder and the real-time data acquisition of tension pressure sensor as the core. The device can adapt to the test of five typical installation angles of 0 °, 45 °, 90 °, 135 ° and 180 ° between composite test plate and test moving direction. The load and speed can be set within a certain range, and the friction coefficient of composite material in typical direction can be calculated, displayed and replayed automatically according to the measurement results, so as to simulate the different laying direction, load and speed of composite material friction environment.
Analysis of face detection based on skin color characteristic and AdaBoost algorithm
Authors: Li Pei , Wang Hongjuan , Li Yeli , Liu Mengyang 
Published: August 2020

Abstract
For the face detection method based on skin color feature and AdaBoost algorithm, if one of them is used to detect the face, it can also catch the face to a certain extent. However, the detection rate and an error rate of this single method in its detection experiment can’t achieve good results. Therefore, this paper combines the advantages of the two algorithms, combines the two approaches, and improves them. The main idea is to use the skin color features of face detection as pre-detection, and use the established skin color distribution Gaussian model to obtain candidate regions containing the skin color of the face, and then use a cascade classifier to detect the skin color regions. By using OpenCV and Visual Studio software, a lot of experimental statistics and analysis are carried out. The research shows that the improved algorithm is superior to the two algorithms in detection rate and false detection rate, and it can also achieve a good detection effect for the face in a complicated situation.
An earthquake prediction model based on precursor window detection
Authors: Ai Yong , Wang Xin-An , Yong Shan-Shan , Sun Chong 
Published: August 2020

Abstract
The research of the earthquake precursor signal anomaly is one of the main research directions of short-term and imminent earthquake prediction. An earthquake prediction method based on time precursory window is proposed in this paper, which is based on the low-frequency electromagnetic signals collected by AETA. Firstly, the prediction model of historical low-frequency electromagnetic signals is constructed by machine learning method. The model is used to detect whether the current time period is in the window of earthquake precursors. Furthermore, two algorithms based on single-site and group-site position prediction is proposed in this paper. The algorithm filters three or more stations within the effective distance range, and uses the probability of earthquake occurrence as the weight to locate the earthquake center, so as to predict the position of earthquake occurrence. Finally, the real data set is tested on the earthquake of Qingchuan County, Guangyuan City, Sichuan Province, on February 18, 2018. The experimental results show that the proposed model has a good prediction effect.
Intelligent Control of Agricultural Irrigation Based on Reinforcement Learning
Authors: Zhou Ni 
Published: August 2020

Abstract
In the traditional agricultural irrigation control methods, flood irrigation and manual control are generally used to irrigate the land, and the effective utilization rate of water is only 20% -35%. With the advancement and development of science and technology, especially with the rapid development and application of sensor technology, wireless communication technology, reinforcement learning and deep learning technology, and intelligent terminals, intelligent control of agricultural irrigation integrating these high and new technologies has been adopted to improve water resources in agricultural irrigation. The utilization efficiency has become an inevitable trend and fundamental requirement for the development of precision agriculture and facility agriculture. This paper proposes an intelligent control method for agricultural irrigation based on reinforcement learning. By constructing a deep learning network to extract features from the raw sensor data and construct Q-learning features, using deep reinforcement learning powerful data learning capabilities, the precision of agricultural irrigation control can be effectively improved. The effectiveness of this method is verified by algorithm training and testing in a greenhouse plantation of a company in Hunan.
Secondary frequency modulation control strategy of household air-conditioning Load participating system based on K-Means clustering algorithm
Authors: Zhang Yangliu , Li Zhongwei , Bai Ziyang , Liu Yong 
Published: August 2020

Abstract
Compared with traditional frequency modulation methods, if a reasonable control method can be adopted, load-side frequency modulation has the advantage of low cost. Air conditioning is a typical high-power household temperature-controlled load. The huge number and outstanding energy storage characteristics make it an important part of demand response and power system frequency modulation. This paper proposes a clustering and equivalent replacement method for air-conditioning load based on K-Means clustering algorithm. Based on the classification algorithm of air-conditioning load, a control strategy based on K-Means clustering algorithm for air-conditioning load participation in secondary frequency modulation of the system was proposed. Aiming at the phenomenon of “secondary peak load” in the process of load recovery in traditional control strategies, the time-sharing grouped frequency modulation control strategy is proposed. The simulation proves the effectiveness of this control strategy in eliminating the “secondary peak load” phenomenon.
Application Research on Intelligent Management Technology Based on Oil and Gas Pipeline
Authors: Liu Xingyou 
Published: August 2020

Abstract
As artificial intelligence rises to the national strategy, all walks of life are exploring their own development in the fourth industrial revolution. In the 1990s, China ’s oil and gas pipelines entered the stage of automatic control from the initial manual operation. After more than 20 years of exploration and development, the reliability and accuracy of the automation system and communication system have been greatly improved; as a result, central control began to replace station control, and centralized control of oil and gas pipelines greatly accelerated the standardization and standardization of operating procedures. The reliable and accurate system and the standardized procedures laid a solid foundation for the intelligent regulation of oil and gas pipelines. This article gives the definition and connotation of intelligent regulation combined with artificial intelligence and pipeline control and gives two design directions from the status quo of oil and gas pipeline regulation. At the same time, it lists the necessary conditions for the realization of intelligent regulation and control.
Research on Passenger Flow Control Model of Urban Rail Transit Network
Authors: Su Xue , Li Yiping 
Published: August 2020

Abstract
The current urban rail transit faces the pressure of effective transportation management brought about by the large passenger flow. Through this research, it is proposed to construct a coordinated control model for urban rail transit passenger flow and optimize the urban rail transit operation organization. Using the Mixed Logit model to construct the urban rail transit network passenger flow collaborative control optimization model can accurately describe the distribution of the urban rail transit network passenger flow online, which is especially applicable to the network topology change scenario brought by the new line introduction. Empirical evidence shows the correctness and effectiveness of the model.
Research on Objective Evaluation Method of Flight Simulator Fidelity
Authors: Zhao Guo-Chang , Zhou Wen-Zao , Du Hang-Hang 
Published: August 2020

Abstract
As ground simulation equipment, flight simulator plays an important role in pilot teaching and airworthiness compliance verification with the continuous progress of simulation technology. Fidelity is an important index to measure simulator and real flight. This paper studies the objective evaluation of fidelity of flight simulator. Through establishing evaluation loop model and evaluation index, the method of fidelity calculation is obtained. Finally, the effectiveness of the evaluation method is verified through specific missions.
The methods and strategies of relay transfer channel on high-speed rail systems
Authors: Yin Fuxiang , Qiao Xun , Liang Lei 
Published: August 2020

Abstract
With the rapid development of economy and high-speed rail in china. High-speed rail have been put on the agenda in many provinces. “fast, fast, fast” has become the current theme. Although the high-speed train is fast, the transfer time takes up a lot of time, which makes it “slow down”. There is an urgent need for a tool which enables high-speed trains to maintain high-speed travel and enables passengers to transfer, which can save passengers’ transfer time, avoid the stop at high-speed rail stations.
Fuzzy Reliability Modeling of Mechanical Meta-action Assembly Accuracy
Authors: Ge Hongyu , Liu Baoqiang , Zhang Chuanwei , Yang Manzhi 
Published: August 2020

Abstract
Meta-action assembly units are the basic units to ensure the reliability of mechanical function. For the problem that the reliability of meta-action assembly units are difficult to be finely modeled. Combined with the fuzziness of assembly process, this paper introduces fuzzy theory into the reliability analysis of meta-action assembly accuracy.By analyzing the structure of meta-action assembly units, it is concluded that meta-action assembly units are composed of support member, power source, transmission fastener and actuator.Then, an unified structural model of meta-action assembly units is established; according to the mechanism of assembly accuracy, the accuracy information of a meta-action assembly unit is mapped to each assembly item (assembly item is consisted of individual part feature and corresponding part feature). Combined with the fuzzy feature of assembly information, the concepts of assembly accuracy reliability and assembly accuracy fuzzy reliability are proposed. By analyzing the fuzzy characteristics of assembly accuracy of assembly items, membership function of assembly accuracy is determined. According to probability definition of the fuzzy events, a fuzzy reliability model of the meta-action assembly accuracy is established. In view of whether the assembly project of scientific research enterprise has faults, a large number of historical data are analyzed, and the overall 0-1 distribution of observation data is obtained. Precision test of fuzzy reliability model is got on by maximum likelihood estimation of the 0-1 distribution. The example shows that the reliability value obtained by using the model is different from the test result by 0.0029. The results indicate that the method has greater feasibility, simplicity and flexibility.
Friction torque analysis of high-speed spindle bearing based on the quasi-static improved model
Authors: Li Songsheng , Liu Yangyang , Zheng Zhiqiang , Yang Tongxu , Chen Huihang , Xiong Xin 
Published: August 2020

Abstract
In order to solve the problem that the quasi-static model cannot calculate the friction torque of the high-speed spindle bearing, a new improved quasi-statics analysis model which can be used to calculate the friction torque of high-speed bearing was established, in which the force balance condition of ball bearing in rotary plane was added by comprehensively considering the role of the cage and the oil films. And its correctness was verified by both theory and experiment. Based on the improved quasi-static model, the friction torque which affects the internal characteristic and service performance of high-speed spindle bearing is analyzed systematically. Results indicate that the rotation speed and axial pre-load and installation are the key factors influencing the spindle bearing internal friction torque and the friction torque inside the bearing can be effectively reduced by selecting ceramic balls and more small balls structure as well as optimizing the curvature parameters of the raceway of the bearing rings, etc. In addition, the improved quasi-static analysis method provides a new and effective analysis method for the performance analysis, structural optimization design and practical application of high-speed spindle bearing.
Expriments on mechanical and physical characteristics peanut vine at harvest period
Authors: Liu Jia Zhen , Sun Ju Yan 
Published: August 2020

Abstract
In order to understand the physical and mechanical characteristics of peanut vines during harvest period, and then provide theoretical data for the development of peanut vine related machinery. In this paper, physical and mechanical tests were performed using the water content, friction characteristics, density, and shear force of peanut vine during harvest period as indexes. The upper, middle and lower moisture content of peanut vines in harvest period is Wupper >W middle >Wlower; the coefficient of friction between the vine and leather, plastic, stainless steel is about 0.6, and the friction coefficient between the vine and the glass was about 0.5 ; there is a large difference between the apparent density and the bulk density of the vine, the apparent density is about 1.3g / cm3 the bulk density is 1.1g / cm3; as the feed rate is constant, the shear force changes steadily after the cutting velocity is more than 8 m/s; the research results can provide reference for the design of key components such as peanut vine wet harvesting device.