bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the Impact of RMB Exchange Rate Fluctuations on Guangdong’s Outward Foreign Direct Investment
Authors: Xie Xiuzhen , Huang Hongwu , Gao Fengjiang 
Published: March 2020

Abstract
For a long time, China’s balance of payment has been in a “double surplus” situation which may easily cause imbalance in the country’s economy, so we must keep expanding outward foreign direct investment to ease domestic inflations. Guangdong has accelerated its outward foreign direct investment significantly nowadays. Through descriptive statistics and measurement research, it is found that Guangdong’s outward foreign direct investment has been growing year after year, and the modes are diversified, however, the overall scale is still small. The investment regions are not balanced, and the investment mainly focuses on low-end industries. The relations between outward foreign direct investment and the RMB exchange rate show positive correlation. Based on the findings, it is suggested that we should seize RMB appreciation opportunity to expand the scale of our investment, and optimize the investment structures and investment regions.
Research on the construction of spatial-temporal network of multi-attraction smart scenic area based on information technologies
Authors: Yao Lifei , Ma Ruimin , Wang Hua 
Published: March 2020

Abstract
Information technologies such as mobile Internet, big data, artificial intelligence and remote sensing technology are playing an important role in smart scenic area. This study firstly defines the concept of multi-attraction smart scenic area. Secondly, we describe the construction about spatial-temporal network of multi-attraction smart scenic area, which helps to promote the tourists into orderly movement in multi-attraction smart scenic area and relieve congestion phenomenon of multi-attraction smart scenic area.
The influence of spectral calibration error of the hyperspectral remote sensor on the TOA radiance
Authors: Zhang Yaqiong , Zhang Wenjuan , Chen Zhengchao 
Published: March 2020

Abstract
Based on the surface reflectance data of the calibration field and spectral calibration coefficients of typical hyperspectral remote sensor, the quantitative effects of the spectral calibration error of hyperspectral remote sensor on the top-of-the-atmosphere (TOA) radiance was analysed by simulating the TOA radiance with spectral calibration error. The results show that: (1) The TOA radiance errors caused by spectral calibration errors are mainly distributed in the solar and atmospheric absorption channels, and the water vapor absorption band errors near 1380 nm and 1870 nm are the largest. (2) With the increase of spectral calibration error, the maximum TOA radiance error in the whole spectrum range increases significantly. Taking a 10 nm resolution hyperspectral remote sensor as an example, 10% and 30% spectral calibration errors bring maximum errors of 34.28% and 68.67% to the TOA radiance, respectively. The spectral calibration error has a significant linear relationship with the maximum TOA radiance error (R2 > 0.98). (3) The shape of spectral absorption region is sensitive to spectral calibration error, which provides a theoretical basis for the feasibility of spectral calibration based on absorption band. The above conclusions provide a reference for spectral calibration and calibration accuracy requirements of hyperspectral remote sensor.
Mining and forecasting of infectious disease transmission data based on smart cities
Authors: Mou Jiongxu 
Published: March 2020

Abstract
With the rise of a new round of urbanization and the growing public awareness of public health, the traditional infectious disease management system can no longer meet the health management needs of smart cities. Establishing statistical indicators and combined time series analysis and prediction models that reasonably describe the spread of infectious diseases can explore the basic trends of infectious disease transmission and make reasonable predictions. In this paper, the number of patients and deaths in the provinces and cities of tuberculosis from 2004 to 2016 were used. The data of tuberculosis from 2017 to 2019 was predicted by the ARMA model. The model was tested by comparison to prove that the method of mining and prediction was reasonable. The health management department of the smart city formulates policies to provide reference.
Design of Remote Hydraulic Teaching System
Authors: Zhou XiaoDong , Xing Keli , Yin Lisheng 
Published: March 2020

Abstract
In this paper, a set of remote hydraulic teaching experiment system is designed and developed based on the demand of teaching experiment of hydraulic related courses in colleges and universities, which can enable teachers or students to conduct experiment operation on the field hydraulic testing platform at the remote client, so as to facilitate teachers and students to carry out hydraulic teaching experiment and research. The main contents of this paper are as follows: according to the requirements of hydraulic servo control system related to the teaching experiment, the experimental project of remote hydraulic teaching experiment system is determined. Through the analysis and comparison of C/S and B/S software system architectures, the remote monitoring scheme based on B/S mode is determined. Completed the design of the hydraulic circuit of the hydraulic test bench, developed the field measurement and control system based on LabVIEW, and built the remote monitoring system based on B/S mode. The development of the remote hydraulic teaching experiment system was completed. The input signal response experiment and load characteristic experiment of the valve-controlled motor electro-hydraulic speed servo control system were carried out on the remote client to the field hydraulic experiment platform, and the experimental results were analyzed. The experimental process and results have reached the expected target and meet the demand of remote hydraulic experiment.
Modelling and analysis of bandwidth on CMUTs for medical imaging
Authors: Liang Liuyang , Li Yan , Zhang Peiyu 
Published: March 2020

Abstract
The bandwidths of capacitive micromachined ultrasonic transducers (CMUTs) affect the resolution of the ultrasound image. This paper analyzes the factors affecting the bandwidth, defines the form of the gain bandwidth product, and studies the maximum condition of the performance metric. Using MATLAB simulation calculation, the parameters of the CMUT bandwidth and gain bandwidth are simulated in transmit and receive modes. The influence of the product provides a theoretical basis for further design of the composite CMUT, increasing the bandwidth and thus improving the resolution of the ultrasound image.
Research on distance measurement method of moving objects in video
Authors: Zhou Wei , Zhang Youfeng , Zheng Yunhong , Li Pingfan , Xu Min 
Published: March 2020

Abstract
We propose a smart car loading camera to simulate the vehicle driving process, the purpose of which is using monocular vision to solve the collision problem that may occur when passengers open the door after the vehicle stops. First of all, Youzheng Zhang’s calibration method is used to obtain the internal and external parameters of the camera, and then the inter-frame difference method is used to lock the moving target in the video. After preprocessing the image, an iterative method is proposed to automatically obtain the threshold to complete the target object segmentation. Combined with the calibration parameters, the distance of the target object is calculated based on the proportion of similar triangles. The test results of videos taken in multiple different scenes show that the average measurement error of the algorithm is 44mm.
Porosity Prediction of Ceramic Matrix Composites Based on Random Forest
Authors: Gao Xiang , Wang Lefan , Yao Leijiang 
Published: March 2020

Abstract
Porosity is an important characteristic attribute of carbon fiber reinforced ceramic matrix composites (CMCs), which is closely related to material properties and directly affects the application range and prospect of composite materials. For the purpose of design optimization in Material Genetic Engineered (MGE), the porosity prediction method based on machine learning technology was proposed to provide material attribute data for propulsion material performance prediction. This study collect CMCs experimental data from papers and Materials Genome Engineering Databases. According to the composition of the materials and the characteristics of the preparation process, 9 influencing factors and 1674 experimental data were selected to establish random forest regression (RFR)and compared with support vector regression (SVR). Using R2 scores and root mean squared error as model evaluation indicators, R2 scores respectively are 0.751 and 0.927 in SVR and RFR, root mean squared error respectively are 0.0062 and 0.0019. The results of the study show that the RFR model predictions are well matched with the experimental values.
Eco-cycle based primary and middle schools’ campus planning and architectural design practice
Authors: Ouyang Fangxin 
Published: March 2020

Abstract
By taking into account the regional features of the planning and design project, this paper sets to discuss the design ideas in campus planning and architectural design for primary and middle schools. Based on the project, it goes deeper to ponder on what kind of features should primary and middle schools’ buildings should have in the macro-environment of Chinese education, and what kind of campus atmosphere should be created. The paper also explores the universality of eco-cycle in campus and interest campus.
Research on the Evaluation Model and Application of University Teachers’ Information Awareness in the Information Age
Authors: Xu Juan 
Published: March 2020

Abstract
As a transporter of talents to the society, college teachers directly influence their ability to acquire, judge and use information, which affects the effect of information-based teaching and affects the quality of talents delivered to a certain extent.In view of this, the article builds a set of scientific and systematic informationization evaluation index system of college teachers in the information age, uses principal component analysis method to construct the evaluation model of college teachers’ information consciousness in the information age, and the information of college teachers The sample survey of consciousness is carried out, and the evaluation model is used to comprehensively evaluate the application of college teachers’ information awareness. Finally, the evaluation results are briefly analyzed.
Research on the Evaluation of Information Awareness of Teachers in Contemporary Colleges and Universities Based on Grey Relation Degree Analysis
Authors: Xu Juan 
Published: March 2020

Abstract
The information awareness of college teachers directly affects their speed and ability to obtain, judge and use information, and then affects the effectiveness of information teaching. In view of this, on the basis of constructing a scientific and systematic Information awareness evaluation index system for university teachers in the information age, eight experts were invited to empower the first-level indicators of the constructed indicator system; The evaluation model of information consciousness of college teachers in the information age was constructed by using grey correlation degree analysis method. Ten teachers of university in Changsha were selected to make an empirical evaluation of their information awareness, and the evaluation results were analyzed briefly.
Wireless Sensor Network Positioning Method Based on the Boundary of Sea Level in Three-Dimensional Space
Authors: Shu Renyi , Shen Xiaobo , Cai Jun , Wang Li , Wu Yan 
Published: March 2020

Abstract
All locating one unknown node requires at least four reference nodes in a three-dimensional space. If three reference nodes are used, then at least two places can satisfy the result of positioning in a wireless sensor network. Hence, on the basis of the boundary of sea level, the reference nodes are on the sea level below, whereas the unknown nodes are above. Here, we determine the solution of positioning both unknown and reference nodes with different spatial locations to find three reference nodes that are noncollinear and are the nearest to one unknown node. The experiment proves the accuracy of positioning with three reference nodes, which are furnished by the boundary of sea level. We conclude that the method of positioning that only uses three reference nodes can exactly realize the position and simultaneously increase the speed of positioning.
A Phase-Shifted Full-Bridge Converter Used for DC Charging Pile
Authors: Zhang Mingda , Wang Sijin , Sun Yihui , Guo Zhejun , Bao Jianyu 
Published: March 2020

Abstract
The zero-voltage switching (ZVS) phase-shifted full-bridge (PSFB) converter has the advantages of simple circuit topology, low voltage and current stress, and controllable working frequency. If applied to the dc charging pile, it can effectively reduce the switching loss and improve the overall operating efficiency of the power supply system. The working principle of ZVS PSFB converter is analyzed, and the main circuit topology of the converter is determined by combining with the technical specifications required by the dc charging pile. Based on PI control, wide range dc voltage output of converter is realized. Finally, PSIM is used to carry out simulation test on the PSFB converter, and the simulation results verify the correctness of ZVS operation and the effectiveness of closed-loop control.
Analysis of the Information Security Risk Assessment Mechanism Based on the Power System
Authors: Li Jian , Wu Jia , Zhao Yi 
Published: March 2020

Abstract
In the risk assessment of the traditional power system information security, the traditional assessment methods are inefficient and the accuracy needs to be further improved. This paper establishes the analytic hierarchy process (AHP), designs a new information security risk assessment model in combination with fuzzy mathematics in risk assessment, and describes the content of the model in detail.
Analyzing problems of distribution transformer service areas based on customer-side data mining
Authors: Xiao Shanshan , Wang Liancheng 
Published: March 2020

Abstract
With the development of economy and the continuous improvement of living standard, the contradiction between the rapid growth of electric load and the untimely renewal of power grid equipment is increasingly prominent. Power supply reliability issues or frequent power outages and customer complaints exist in many areas. Due to the limited human and material resources of power supply companies, the problems existing in the distribution transformer service areas cannot be resolved timely and thoroughly. As the direct service objective of electric power, customer’s experience of using electricity will reflect the power quality of the distribution transformer service areas to a great extent. Therefore, this paper will start with work orders from customer sides, find out the existing problems in distribution transformer service areas based on the data association rules, and help make informed decisions. The proposed method not only reduces the investment of capital and manpower, but also reduces the number of power outages, and improves the customer satisfaction.
Calculation of new energy maximum access capacity and design of software platform
Authors: Zhang Hua , Ji Cui , Diao Chang , Ping Yongchen , Tan Qiming 
Published: March 2020

Abstract
In view of more and more new energy access to the power grid, this paper proposes a new energy maximum access capacity calculation method, which considers four factors: voltage fluctuation, voltage deviation, harmonic current and transmission capacity. In addition, it develops a set of computing software platform. The platform is based on Python language. The input format file of the platform is a common excel file, which is simple, convenient, flexible and easy to operate. The platform can calculate the maximum access capacity of new energy under the specific grid structure, and give the reasons for limiting access only after inputting the line parameters, new energy parameters, node parameters, transformer parameters, etc.
Fast Energy Equalization Control Strategy for Flywheel Array System Based on the Energy Prediction
Authors: Ren Jingpan , Ma Hongwei 
Published: March 2020

Abstract
Flywheel energy storage array has attracted extensive attention because of its high power density, wide operating temperature and no environmental pollution. But there are few suitable power distribution strategies which hinders its development. This paper proposed an energy prediction fast equalization method (EP-FEM) to distribute the power of the array to each unit. In consideration of the current energy of flywheel and the predicted energy of next control cycle, this method can solve the problem of the unbalance of the residual energy among the units and prevent the oscillation of the output power of the unit when the control cycle is too long. A flywheel array model has been established in Matlab/Simulink and verified the effectiveness of this strategy.
Research on Substation Protection Measurement and Control Integrated Configuration Device Based on SoC Chip
Authors: Zou Xiaofeng , Zhou Guliang , Ling Hao , Yu Wuguo , Pan Junjun 
Published: March 2020

Abstract
Aiming at the development status of relay protection in intelligent substation, an integrated configuration device of substation protection measurement and control based on SoC chip is proposed. SoC chip integrates dual-core ARM Cortex-A9 and FPGA, which makes full use of the powerful data interaction ability of FPGA and dual-core CPU and realizes the basic function of substation protection and interval measurement and control. With the high integration advantage of SoC chip, it simplifies the hardware plug-in of the device and realizes high integration of substation protection measurement and control functions on a single device.
Design of double loop controller for three-level boost converter
Authors: Zhao Yang , Xu Tieduo , Zhao Yun , Hu Shengqiao 
Published: March 2020

Abstract
Three-level Boost Converter (TLBC) is widely used in new energy generation grid-connected technology. This topology not only reduces the voltage stress of the switching tube and the diode, but also has a smaller size, lighter weight and higher power density. However, it has the problem of midpoint potential shift. In this paper, a dual closed-loop controller is designed by establishing the AC small-signal model of the system. while stabilizing the output voltage, the upper and lower capacitor voltages are dynamically adjusted to ensure the balance of the midpoint potential. Finally, this paper establishes a simulation platform in MATLAB/Simulink and verifies the dual-loop controller scheme.
Research on the Topology of the Ubiquitous IoT Distribution Network in Power System
Authors: Lai Ji , Wu Jia , Han Xiaoyun 
Published: March 2020

Abstract
Starting from the perception layer, network layer, platform layer and application layer, the construction of ubiquitous IOTIPS (Internet of Things in Power System) integrates and applies new technologies such as sensor technology, power electronics technology, automatic control, cloud computing, intelligent terminal and so on, which is the core task to implement the strategic goal of “three types, two networks and the first class in the world-class” of the State Grid Corporation. Based on the construction objective of ubiquitous IOTIPS, this paper focuses on the application scenario of distribution network and analyses its network topology. Combined with the Smart Energy Router (SER) proposed in the context of energy Internet, the topology of a new ubiquitous IoT distribution network in power system is proposed. Aiming at the massive data brought by the Internet of Things, a user data information network independent of the communication network used to transmit control or measure signals in the existing distribution network is proposed. Finally, the key technologies are briefly sorted out layer by layer, and the application prospect of the topology of the proposed ubiquitous IoT distribution network in power system is prospected.
Research on the application of power battery in oil field equipment
Authors: Zhang Ran , Xu Mingqing 
Published: March 2020

Abstract
In order to fundamentally solve the potential safety hazard caused by the need to connect the electrical equipment to the high-voltage transformer, the application research of the power battery in the oilfield electrical equipment is organized, and the electrical equipment based on the power battery is developed, which realizes that the wellhead transformer can meet the power load demand of the whole operation process. The field application proves that the power battery can be applied to the electric operation equipment to realize the intrinsic safety of the equipment, and has good energy-saving and environmental protection effect. The novel electrical equipment is easy to operate, simple to maintain, and can be generalized and applied in oilfield.
Transmission Technical Project Investment Forecasting Under the High-dimension Small Sample Conditions
Authors: Wang Mianbin , Qi Xia , Geng Pengyun , An Lei , Wang Jianjun 
Published: March 2020

Abstract
The electricity market will realize the separation of transmission and distribution, in the new environment, the main profit model of the power grid company will be dominated by transmission and distribution services, it will require the grid company to control its investment and cost accuracy. As a routine maintenance work to ensure the safe and stable transportation of electric energy, the grid technical transformation project has a great impact of the grid operation cost. Due to the lack of the history data, it is difficult to forecast the project’s investment, and the current investment always relies on experience. It needs to construct a quantitative forecasting model to make scientific and objective predictions of investment in technological transformation projects. In this paper, the principal component analysis (PCA) is employed to analysed the history data, then the main factors are obtained, which are used as input variables into SVM models. Finally, from a case study of a certain grid company, the proposed PCASVM forecasting model has better performance on the grid technology transformation project investment prediction, it confirms the effectiveness of the proposed method.
Research and Application of Multiobjective Robust H2
/ H
∞ Fuzzy Control Algorithms for Double Reheat Steam System
Authors: Liu Miao , Li Gengda , Chen Baowei 
Published: March 2020

Abstract
In order to ensure the tracking and anti-interference performance of the second reheat steam system of the ultra supercritical unit, a multi-objective robust H
2 / H
∞ fuzzy tracking control scheme is proposed. T-S model is used to describe the reheat steam system, and the problems of state observation and control error are considered in the design of control strategy. The control design problem is transformed into a multi-objective constraint problem. The design process and robustness of the method are illustrated by a simulation example.