bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Reader Service System for Digital Library
Authors: Xu Chuanjie , Bo Wen 
Published: July 2020

Abstract
Digital library is an extensible knowledge network system based on computer communication and sharing in the network environment. To meet the needs of digital library, a reader oriented reader service system for digital library is developed by using computer technology, communication technology and network technology. The system includes user management, book borrowing and returning, book reservation, book display, book review and other functions. Combined with the push function of mobile phone, the system realizes the purpose of carrying out book borrowing service for readers more efficiently. Through the integration of library service and digital communication, the reader service system of digital library can make readers enjoy digital information resources conveniently and quickly at any time and any place.
MSFA-Net: a Network for Single Image Deraining
Authors: Wu Shun , Zhou Jun 
Published: July 2020

Abstract
Rain streaks degrade the quality of image. Many methods have been proposed to solve single image rain streaks removal recently. However, some methods over-smooth the recovered image. A deep network architecture called Multi-Scale Feature Attention Network (MSFA-Net) is proposed in this paper. We propose a novel basic block structure to exploit the image features, which consists of multi-scale residual learning block and feature attention block. Several basic block structures with a local residual learning compose a group architecture. The outputs of each group architecture are concatenated for final multi-scale feature fusion. Then the features are fed into feature attention block and reconstruction module. Finally, a global residual learning module restore the clean image. Besides, the feature attention block combines channel attention with spatial attention. The proposed MSFA-Net removes the rain streaks which study a non-linear mapping relationship between the rainy and clean image from synthesized dataset. Through comparing with other state-of-the-art algorithms, our algorithm performs better for both synthesized rainy image data and real rainy image data.
Character Design of Somatic Game from Perspective of Intangible Heritage Digital Protection
Authors: Yingfang Zhang , Ding Qiaoying , Shen Dini 
Published: July 2020

Abstract
Due to the development of the times and the progress of society, many traditional cultures are gradually disappearing, and the protection of intangible cultural heritage has become the focus of social attention. With the continuous innovation of science and technology, computer somatic games are also constantly developing. Due to the mode of human-computer interaction, it is suitable for all ages and is loved by the majority of players. This paper takes Lu-style Xinyi Quan as the research object, which is popular among Shanghai, and explores the artistic style, modeling design and three-dimensional model creation of character design based on the digital protection of intangible cultural heritage. Players can watch the action demonstration teaching of characters and imitate learning, while feeling the charm of the Quan, stretch their limbs and experience the fun of fitness and Chinese traditional martial arts indoors, thus promoting the digital protection of intangible cultural heritage.
A Method for Preprocessing State Data of Power Transmission and Transformation Equipment
Authors: Zhou Chao , Qin Jiafeng , Lin Ying , Zheng Wenjie , Bai Demeng , Yi Yang 
Published: July 2020

Abstract
In the era of big data, transportation and inspection data of power transmission and transformation equipment are characterized by diversity and richness. Massive data provide data support for state assessment of power transmission and transformation equipment, but at the same time, higher requirements are put forward for traditional data management and data quality model. How to clean the errors and invalid data in the transportation and inspection data, how to effectively repair the missing data, establish the data quality evaluation model, and improve the quality of the transportation and inspection data of the transmission and transformation equipment are of great significance to the equipment status evaluation.. For the acquired data, this paper carries out preliminary cleaning work on the data, and carries out preliminary cleaning on the data through time series analysis and other technologies to ensure the validity, consistency and integrity of the data.
Target Tracking Algorithm Suitable for Fisheye Camera in Vehicle Environment
Authors: Dong Jinghua , Wei Haiping , Yu Hongfei , Yang Tingting 
Published: July 2020

Abstract
Moving target tracking is one of the core issues in the fields of automobile assisted driving and autonomous driving. This algorithm proposes a target tracking algorithm suitable for fisheye cameras in vehicle environment. A background point removal method based on median ordering is proposed to optimize the optical flow method to solve the problem of target scale change in fisheye camera videos. Multi-scale scaling processing for frames, tracking algorithm based on cyclic matrix structure (CSK), target tracking for multiple images after zooming, using fitting to determine the maximum corresponding value, reducing the error caused by target deformation on tracking results. The tracking test results of multiple fisheye camera videos in the vehicle environment show that the algorithm has high real-time tracking accuracy.
Recognition of the Name of Quality Inspection Institutions Based on CRF and Rules
Authors: Ning Xiuli , Su Xueyan , Peng Bin 
Published: July 2020

Abstract
In recent years, the case of injuries, deaths and property losses caused by product quality and safety issues occurred frequently. The analysis and processing of product quality and safety data can provide data support for government departments in decision-making, which is significant for improving product quality and safety in general. Institution name recognition is an important link in the analysis and processing of quality inspection data. A recognition method which combined CRF and rules for the name of quality inspection institution is put forward in this paper. Firstly, summarizing the rules and features of the name of quality inspection institution by the analysis of the composition characteristics, and then the entity recognition model based on statistics and rules is constructed in combination with CRF. The experimental results show that the method proposed this paper has high accuracy, recall rate and F value for the quality inspection institution names of different scales.
A Two-layer Mechanism Identification Method for VIN Adversarial Examples
Authors: Wang Yingdi , Liu Jiqiang , Chen Tong , Xiang Yingxiao , Tong Endong , Niu Wenjia 
Published: July 2020

Abstract
With the rapid development of machine learning algorithms, the security problems are gradually emerging. Most existing machine learning algorithms may be attacked by adversarial examples. Especially in the domain of path planning, the adversarial maps may result in multiple harmful consequences on the paths predicted by Deep Reinforcement Learning (DRL) algorithms. However, there is no suitable approach to automatically identify them. To our knowledge, all previous work used manual observation method to identify the adversarial maps, which is time-consuming. Therefore, this paper explores a two-layer mechanism method to automatically identify the adversarial examples in Value Iteration Networks (VIN). We define the four categories of attack results and identify them by combining path feature comparison and path image classification. Experiments show that this method can achieve an effective identification on VIN adversarial examples.
Modeling and Optimization of Multiphase Flow in Pump Station
Authors: Sedlář M , Machalka J , Komárek M 
Published: July 2020

AbstractThis paper presents the numerical analysis of flow in the pumping station including the influence of free water level in the suction and discharge objects. The suction object is based on a draft tube. Two solutions of the discharge objects (with the overflow walls and with the welded siphon) are compared so as to optimize the efficiency and start-up of the station. All calculations are based on the ANSYS CFX software with the SAS-SST and the DES scale resolving simulations. The numerical solution of the free-surface flow is carried out by means of the Volume-of-Fluid method. Calculations of flow inside one complete pump station passage provide a good picture of the distribution of water velocities and the corresponding heights of water level in front of the suction draft tube, above the overflow wall crown as well as inside and behind the siphon during the start-up. The calculations are verified with some experiments carried out in the hydraulic laboratory of the Centre of Hydraulic Research. Conclusions show the higher overall efficiency of the station with the siphon-based discharge objects but also indicate some special requirements for the start-up of this station.
Efficient EK-means: Extended K-means Clustering for Categorical data with High Processing Speed
Authors: Xi Chen , Shuo Peng 
Published: July 2020

Abstract
The typical representative of the hard clustering algorithm, K-means, is one of the fastest processing algorithms with good scalability. However, it cannot deal with categorical attributes, which is one of the important indicators to measure the pros and cons. Due to the lack of processing capabilities on categorical attributes, k-means has a large limit on data processing capabilities. This paper proposes a clustering algorithm extends from K-means. This algorithm introduces the concept of a Pseudo-mean distance calculation formula and a counting-table so that categorical attributes can be processed while reducing the time cost as much as possible. Experimental results illustrate the proposed Pseudo-means can extend the processing range of k-means to category-type data, and the counting table also effectively reduces the time cost.
A capacitive electric-field energy harvester with double-layer copper foil for 220V power line
Authors: Yan Dong , Li Jie , Zhang Jiajia , Tian Xingliang , Ou Dexu , Gu Jing 
Published: July 2020

Abstract
The output power of electric-field energy harvesting is limited by displacement current produced in the capacitive coupling between the harvester and power line. This paper presents a capacitive electric-field energy harvester (CEFEH) that obtains energy from 220V power line by displacement current. The CEFEH consists of copper foil wound around the power line and ground electrode. In order to improve the output power of CEFEH, a double-layer copper foil is used to enhance the capacitive coupling, thereby increasing the displacement current. With the help of larger displacement current, the harvesting power of CEFEH with double-layer copper foil is 1.6 times higher than that of the single-layer copper foil. However, the electric-field energy around the 220V power line is very weak, which makes wireless sensor node unable to work directly. A power management circuit is designed for CEFEH. The test results show that the proposed CEFEH collects 2.468mJ in 400s and drives the ultra-low power wireless temperature sensor node to operation for 800ms. This CEFEH can be used in wireless sensor node with a short-term ultra-low power.
Analysis on the impact characteristics of grounding device considering spark effect
Authors: Li Hengzhen , He Zilan , Chen Sixiang , Zhang Ming , Shu Yingjun , Hu Chen 
Published: July 2020

Abstract
Under the effect of lightning current which is with large amplitude, the grounding device and surrounding soil will have spark effect, which makes device show complex impact characteristics and affect the current dissipation process. In this paper, using the parallel plate device, the quantitative relationship between the resistivity of sandy and brown yellow soil and the field strength is obtained, which is expressed as a piecewise function. Considering this relationship, a finite element model of impact dissipation for grounding device is established. A test platform is built, and the impact test data of different topological forms is used to compare with the results of the model, which can verify that the model can effectively analyse the spark effect of the grounding body. After carrying out simulation for the grounding body of different topological forms, this paper analyses the impact dissipation characteristics of the horizontal grounding body and the grounding body with short conductors.
Improved Reactive Power Control of Voltage Fluctuation Caused by Photovoltaic Concentrated Integration
Authors: Liu Guang , Luo Zhongyou , Hou Bing , Wang Yue , Cai Yongjun 
Published: July 2020

Abstract
In the past few years, the number of large-scale photovoltaic (PV) power station is increasing quickly. Due to the power fluctuation of PV station, the voltage in the power grid with large-scale PV stations integrated may fluctuate irregularly. It may cause transformer tap or shunt capacitor switching frequently. To smooth the voltage fluctuation, a typical solution is to install energy storage system which needs high investment. The alternative way is to use reactive power to regulate the voltage. This paper introduces the ability of reactive power control to mitigate the above voltage fluctuation problem. An improved ΔQ(ΔP) control is proposed. Comparing with the common Q(U) droop control, the results of an actual PV station case verifies its good performance.
Trench based structure to modulate the stress induced by silicide metallized electrodes in semiconductor device
Authors: Wen Houdong , Luo Qian , Meng Siyuan , Jiang Xuanqing 
Published: July 2020

Abstract
Though the silicide metallized electrodes which are widely used in semiconductor devices have their advantage of low contact resistance, they often induce harmful stress in devices. Considering this, a trench-based structure designed to manipulate the silicide induced stress is reported in this letter. The effects of the structure are demonstrated by the numerical simulation results based on the typical PMOSFETs with their electrodes formed by CoSi2 and NiSi. It is shown that, while the trench-based structure is applied, the harmful tensile channel stress caused by the silicide electrode can be reduced as low as about 50%. As a result, the output current can be increased about 7.5%. These results indicate the potential of this novel trench based structure to serve as the stress modulation structure in the semiconductor device with silicide electrodes.
A Comparison between IGBTs and Diode Converters for DC Railway Electrification Systems
Authors: Li Zijian , Yang Minlong , Tricoli Pietro 
Published: July 2020

Abstract
This paper describes a comparison between the specific DC railway models with insulted gate bipolar transistors rectifiers and diode rectifiers. As silicon diode was applied to railway electrification system decades ago, the IGBTs rectifiers have not obtained wide application yet. In this research, the performance of these rectifiers is presented and analysed. The power supply to the load, system losses and effects to systems are the main aspects compared in this paper. The analysis presents the possibility that new types of power converters can be adapted in DC railway electrification system. The simulations are carried out with MATLAB and Simulink.
Experiments and simulation analysis of 500kV single-phase three-column transformer in No-load under DC bias
Authors: Junshuang Z , Haiming L , Wanyi T , Lianguang L , Mingyang L 
Published: July 2020

Abstract
The DC-bias experiments were carried out on two identical single-phase autotransformers which parameters are 250MVA/500kV. The aim of the experiments was to test the ability of transformers for withstanding DC bias. The variation laws of the electrical quantity, the temperature rise, vibration with the increasing DC current under no-load are obtained. The effective value of the exciting current under DC bias is much higher than the normal no-load exciting current. The reference for the DC bias experiments of large transformers can be provided through this method.
Research on detection method for aviation bus based on electrical characteristics
Authors: Du Tingting , Jia Qingzhong , Li Yao 
Published: July 2020

Abstract
Based on the current situation of aviation bus detection, this paper analyzes the application limitations and shortcomings of existing detection methods. On this basis, an improved detection method in frequency-domain for two common aviation buses with different structures based on TDR technology is designed, and the detection of hard faults is used as an example to explain the detection strategy, application difficulties and solutions. Besides, the detection of soft faults for aviation bus are emphatically studied based on this method. The experimental results show that the scheme has high feasibility and good diagnostic accuracy, which provides an important reference value in engineering for reducing the difficulty and improving the efficiency of electrical fault detection for aviation bus.
Study on Utility Factor for Energy Consumption of Hybrid Electric Bus
Authors: Li Jingyuan , An Xiaopan , Liu Yu , Yu Hanzhengnan , Lv He , Hu Xi 
Published: July 2020

Abstract
Due to the environmental benefits of hybrid electric vehicles, the vehicle population would steadily grow in the next several decades. This paper analyses a large number of road data of buses. The Daily Vehicle Kilometers Travelled of new energy vehicles is 139km and that of internal combustion engine vehicles is 143km. With 50% coverage, both NEVs and ICEVs are 135km. With 80% coverage, both NEVs and ICEVs are 185km. Hybrid electric buses are charged at least once a day. The average charging frequency is 2 times a day in summary. Then construct the utility factor of bus for calculating the comprehensive energy consumption. To verify the validity, a group of experiments were carried out and a new calculation formula was conducted. The comprehensive results by using UF(B) can help users to understand actual energy consumption more clearly.
A Two-stage Demand Response Strategy for Datacenters in the Smart Grid Environment
Authors: Li Yuling , Wang Xiaoying , Luo Peicong , Huang Dingchang , Zhao Mengmeng 
Published: July 2020

Abstract
As a large load of the smart grid, datacenters usually have a huge demand for power. Datacenter participation in demand response programs of smart grids can help the grid to adjust the load while reducing its own power costs so as to save electricity costs. In this paper, we designed a two-stage demand response participation strategy to alleviate the peak load pressure of the gird and reduce the power cost of the datacenter. The first stage determines whether to participate in demand response according to the real-time electricity prices variation of the power grid and incentive information will be sent to encourage users to participate in the program to help shave the peak load. In the second stage, the datacenter interacts with its users by allowing users to submit bid information by auction. Then the datacenter selects the tasks of the winning users to postpone processing with awards, which reduces the electricity costs of the datacenter and effectively meets the demand response requirements of the smart grid. In this way, the goals of both parties could be achieved.
Real-time dispatch strategy of microgrid based on fuzzy control of energy storage
Authors: Li Nailiang , Wang Xiuli , Kuang Yi , Zhang Shujie , Zhao Hongyang 
Published: July 2020

Abstract
Microgrid (MG) is effective to absorb the distributed renewable energy source (RES). Considering the uncertainty of RES and load, this paper proposes a fuzzy rule of energy storage system (ESS) and gets its output by anti-fuzzification in the real-time dispatch stage after receiving the actual load and RES value. Based on the envelope principle and fuzzy control, a grid-connected MG scheduling model is established. Considering the ultra-short-term forecasted data at the beginning of an hour, a receding-horizon scheduling model which includes the constraints of ladder price, ESS, RES, etc. and aims at the lowest operating cost, is established to correct the day-ahead scheduling error as the basic value of real-time scheduling at subsequent times. Taking a MG in Shaanxi Province as an example, the proposed strategy ensures the rapid and economic operation of MG.
Application of Fractional Order PI Control in Single-phase Active Power Factor Corrector
Authors: Jianfeng Jiang , Shengze Chen , Xijun Yang , Zikun Cai 
Published: July 2020

Abstract
Single-phase active power factor corrector (APFC) can eliminate harmonic current pollution to the grid harmonic current. APFC uses a double closed-loop control structure with a voltage outer loop and a current inner loop. Although this control method is very simple, the dynamic response characteristics need to be improved. After analyzing the definition of fractional PID and the design process of fractional PI controller parameter, the fractional-order operators is calculated by using the Oustaloup approximation algorithm, so that a double closed-loop variable coefficient PI controller with a voltage outer loop and a current inner loop are designed in APFC to adopt fractional PI control. The pure resistive load is taken as an example for simulation analysis and compared with the three conditions of the traditional PI controller. The results demonstrate that the APFC can obtain good dynamic and static characteristics by adopting double closed-loop fractional PI control with proper order.
Transformer Fault Diagnosis Based on RapidMiner and Modified ELM Algorithm
Authors: Zhong Ji-you , Wei Jin-xiao , Wu Xiao-rong , Tang Hao 
Published: July 2020

Abstract
For transformer fault diagnosis, the three ratio method lacks of encoding, and artificial intelligence methods lack of anti-interference ability.Thus, a new method of transformer fault diagnosis based on RapidMiner and modified particle swarm optimization Extreme Learning Machine (RM-MPSO-ELM) is proposed. Firstly, RapidMiner picks out the most relevant input variables of the transformer fault. then, using the modified particle swarm algorithm to optimize the parameters for Extreme Learning Machine. Finally, using the ELM to identify the potential of transformer fault, the diagnostic performance of IEC three ratio method, support vector machine (SVM) method and different combinations of ELM algorithm are also compared. The results show that the proposed method achieves higher diagnosis precision.
Analysis of Electrical Model of Data Center Power System
Authors: Zhen Chai , Tiezheng Zhao , Wen Jiang 
Published: July 2020

Abstract
The electrical structure of the power distribution system in data center is generally a tree-like structure, with fewer branches closer to the power supply side and more branches closer to the load side. In this article, the electrical topology structure diagram is established, and the structure of power distribution network between 10kV input line and power distribution units is discussed. In the electrical structure of power system, 10kV distribution cabinets and 400V distribution cabinets are connected with electrical equipment such as electrical cable, transformer or enclosed busbar. By analysing the equivalent impedance model of equipment above, the theoretical impedance values are obtained.