bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Knowledge Search Method for Numeral Terms in Power System Based on Multi-source Fusion
Authors: Hua Min , Qi Xiao-man , Pan Ai-qiang , Zhao San-shan , Huang Xiao-xia , Wu Chao 
Published: April 2020

Abstract
In the process of energy and power research, it is often necessary to find numeral data information from multiple ways based on searching words, so the domain information can better analyzed and understood, visually discover hidden relationships between information and ultimately improve search efficiency and experience. The article designs a set of numeral entity discovery methods based on NLP and improves a visual search engine. Using CRF for named entity pre-processing extraction, using TF-IDF, etc. to complete multi-source information combination search and information mining method establishment, the power system energy database is used as the information source of the search engine, enabling users to locate the document data of the searching words in the energy database and the context information associated with them quickly, generate summary information, extract the central words based on this, and image the information in the form of word cloud and chart demonstration. Experiments have shown that the searching result are of interest to users, quickly locate the literature and context-related information containing the numeral hotspots, and the search recall rate is significantly improved.
Detection of DC Series Arc Fault Based on VMD and ELM
Authors: Ma Tao , Tian Ersheng , Liu Zhenxing , Liu Shuxin , Guo Tianhong , Wang Taowei , Fu Long 
Published: April 2020

Abstract
With the increase of domestic electrical equipment, the incidence of electrical fires has also increased, and research on fault arc detection has become a hot topic today. In this paper, a method combining variational mode decomposition (VMD), and extreme learning machine (ELM) is proposed to detect arc faults accurately. The characteristic signals of the resistance, capacitance and inductive load under normal conditions and arc fault conditions were collected by experiments. Then, the current data was processed by variational mode decomposition (VMD). Due to the different spectral characteristics of normal mode, arc fault mode and switching transient mode, the intrinsic mode function (IMF) under arc fault mode can be selected. Finally, according to the characteristic of determined IMF components, a new arc fault criterion was proposed for general DC arc detection. The experimental results verified that the proposed method can detect arc faults accurately.
Study on the Influence of Different Magnetic Fields on Vacuum Arc Based on COMSOL
Authors: Ma Huizhuo , Tian Ersheng , Yan Tianyv , Liu Shuxin , Yv Shijing , Yuan Limin , Zhang Rui 
Published: April 2020

Abstract
In this paper, the finite element software COMSOL is used to establish a two-dimensional simplified vacuum arc model, and the parameters are set in COMSOL to set the conditions. A transverse magnetic field is applied between the two contacts, and the transverse magnetic field can cause the arc to burn in one direction, reducing the ablation of the contacts by the arc. In this paper, the process of arc motion under different magnetic field strengths is studied. The trajectory of arc motion can be seen, reflecting the movement state of the arc at different moments and the comparison of the maximum contact temperature.
Phenomenon of Transformer Sympathetic Inrush and Analysis of an Example
Authors: Fan Ying , Ji Qingjing , Ma Huan , Chen Zhongyang , Shen Keli 
Published: April 2020

Abstract
According to a mal-operation accident of differential protection which is caused by the effect of a switching-on transformer with no load on a parallel running transformer in a 35KV substation, the emergency and the development of transformer sympathetic inrush current was analysed from the aspect of the flux. And the three-phase differential current and their second harmonic component were obtained, which shows that the mal-operation wasn’t caused by the low second harmonic component in the differential current but by the changed transfer characteristics of the current transformer, which leads to an increase in the differential current.
Reliability Evaluation Method of Distribution Network Based on Consumers’ Sensitivity Classification
Authors: Sun Guanghui , Zhang Tao , Zeng Qinghui , Tu Wanjing , Wang Yunfei , Zhang Sihan 
Published: April 2020

Abstract
In order to improve the accuracy of power supply reliability evaluation, this paper proposes a reliability evaluation method of distribution network based on consumers’ voltage quality sensitivity. Firstly, 6 indexes of power supply reliability are extracted and divided into general and other indexes to measure consumers-side experience and failure repair capability respectively. Secondly, according to the consumers’ voltage quality sensitivity, they are classified into sensitive consumers, general consumers and insensitive consumers. Based on the data of regional electricity consumers, consumers’ voltage sensitivity classification is obtained. After combining the voltage sensitivity classification of consumers with distribution network reliability index data, a reliability evaluation model of distribution network is established. Finally, an instance analysis shows that consumers’ sensitivity and the proportion of different consumers have significant influence on the evaluation results.
Evaluation of Human Error Probabilities of Power Grid Dispatchers Based on Hybrid Risk Analysis Method
Authors: Zhou Yi , Peng Caifang , Fang Xingqi , Song Bingbing , Teng Xiaobi , Lu Yi , Fu Shan 
Published: April 2020

Abstract
In the power system, the dispatcher’s inappropriate execution commands often have great impact on the safe operation and might lead to accidents. In order to further study the risk mechanism of human factors and calculate the human error probability (HEP), this paper proposes a hybrid risk analysis method called SD-SPAR (a System Dynamic Model for the Standardized Plant Analysis Risk (SPAR) Method), which combines the SPAR Human Reliability Analysis method with the System Dynamic (SD) approach to initialize a framework to model dynamic relationships between the Performance Shaping Factors (PSFs) and HEP. First of all, to reduce the uncertainty of grade division for the PSF stress and make the result of HEP more accurate, a physiological factor measurement method was adopted to calculate the dispatcher workload and help to divide the stress quantitatively. Second, based on the SD-SPAR method, the path dependence between the PSFs were summarized to reveal their influence on HEP and successful performance. Third, by analyzing the causality and feedback mechanism of the internal factors, the reasons accounting for incidents can be found to help analysts have a deeper understanding about the incidents, and to move forward improvement strategies to decrease the human error risk so as to achieve better task performance. This study can also be used to form the basis for the simulation of various control scenarios. It can help to explore better solutions to prevent and correct human error behaviors, and guarantee the safe operation of the power system.
Optimization Framework and Application Research of Automatic Test System for Armored Vehicles
Authors: Liu Peng 
Published: April 2020

Abstract
The optimization of the automatic test system for armored vehicles is a system engineering. Based on the analysis of the current research status of automatic test systems, automatic test system optimization framework is introduced. According to the relevance with the architecture and software function, the software optimization is divided into three categories, focusing on the first two categories of nine optimization content. Aiming at the accuracy optimization of software prediction in the Class II software optimization, a state prediction algorithm based on GA-ANFIS is proposed, which can be used to predict the SOH of lead-acid batteries in armored vehicles. The experimental results verify the effectiveness of the GA-ANFIS algorithm.
Study on inertia weight decreasing strategy of particle swarm optimization based on inverse coseca
Authors: Liu Huiming , Liu Yong , Zhen Jiaqi 
Published: April 2020

Abstract
The standard particle swarm optimization (pso), which introduces inertia weight w, is an effective method to find the extreme value of the function. However, particle swarm optimization (pso) has some disadvantages. When dealing with optimization problems, pso lacks effective parameter control and is prone to fall into local optimization, which leads to low convergence accuracy. In, this paper, put forward a new improved particle swarm optimization (pso) algorithm, The nonlinear decreasing inertia weight by the CSC function strategy, at the same time to join the beta distribution on random Numbers, thus to balance the global search and local search ability of the algorithm. The learning factor is the changed asynchronously to improve the learning ability of the algorithm. By adopting Griewank, Rastrigrin, J.D. Schaffer three standard test functions to simulate experiment, at the same time and the basic particle swarm algorithm the inertia weight in a fixed value, the linear regressive LDIW and nonlinear regressive comparison. The experimental results show that the nonlinear decreasing strategy with dynamic adjustment of inverse cosecant function can improve the convergence speed and stability.
Research on the Progress in Process Control of 3D Printing Technology
Authors: Yao Cenglin 
Published: April 2020

Abstract
With the rapid development of 3D printing technology, it has been applied in more and more fields and products, so the research on 3D printing technology control process has important practical significance. This paper first analyzes the current development of 3D printing technology, and then introduces the classification of 3D printing technology, as well as the classification of control process system. Finally, several control process systems of 3D printing technology are analyzed and studied.
A new car logo extraction method based on license plate detection
Authors: Ren Hanwen 
Published: April 2020

Abstract
Nowadays, intelligent transportation system is becoming the new trend because of the development of modern traffic, which serves to help gather traffic data, control traffic and improve road safety. One big challenge within intelligent transportation system is car model detection, which provides important information for traffic monitoring and planning. Currently, most car model extraction focus more on one-pass solution, which directly finds out the car logo region. In this paper, a new hybrid car logo extraction method based on license plate detection is proposed. First, a text detection is applied on car images to locate the license plate. Then, within a region of interest above license plate, a sub region is extracted to locate the car logo based on edge information. The fundamental concept is that using the relative location information between the license plate and car logo can take the most advantage of existing state-of-the-art license plates detection methods which is practically accurate, robust and efficient. Experimental results on OpenALPR dataset demonstrate its good performance in extracting car logos.
A three-dimensional simulation method of ground cracks based on images from drone
Authors: Yajun Lei , Ao Zhang , Jianhui Yang , Wangxin Cheng , Zhanling Sun , Shasha Xia , Ting Zhou , Lihong Dong 
Published: April 2020

Abstract
The ground cracks in the goaf will affect the safety of the local people and the ecological environment. Therefore, the three-dimensional model of the ground cracks can provide certain decision support for the coal mine safety production managers. In this paper, a three-dimensional model method for ground cracks based on images acquired by drones is proposed. Firstly, based on a small amount of original borehole data, Kriging interpolation method is used to generate enough stratum information, and the grid model is used to establish the original stratum three-dimensional model. Secondly, the image acquired by the drone is needs to be preprocessed, and the corner data is obtained as the key point of the crack by using the Harris algorithm. Thirdly, generate the three-dimensional model of the ground crack. It is inserted into the original three-dimensional model of the original stratum, and finally a three-dimensional model of the stratum containing the ground crack is obtained. The experimental verification shows that the method can effectively simulate the ground crack.
SE-DEA-based Approach to Determining the Hub Growth Potential of Airports
Authors: Wang Yu , Li Bowen , Wang Qian , Che Tong 
Published: April 2020

Abstract
Determining which airports can grow to hubs in a transportation system is a basis of hub-and-spoke network design. From the perspective of airport operation efficiency, this paper presented a SE-DEA (super-efficiency data envelopment analysis)-based approach to identify those airports that possess the hub growth potential. Firstly, the urban population, urban GDP, and the number of navigation points were considered as input variables. The throughput, the proportion of transit passengers, the proportion of international passengers, the normal rate of airport release and the proportion of base airline were treated as output variables. An empirical analysis with the data of several main American airports in 2018 was solved by DEA-SOLVER Pro 5.0 software. The results show us: (1) the top three airports are LAS (McCarran International Airport), ATL (Hartsfield-Jackson Atlanta International Airport) and MIA (Miami International Airport), (2) the results are consistent with the reality and this proposed method could lay theoretical basis on finding airports which have the potential to become hub ones.
Model of heterogeneous passengers’ rerouting behavior under metro operational disruption
Authors: Zhu Huiying , Xiao Wenjin , Zhang Qi 
Published: April 2020

Abstract
This paper presents a framework to identify affected commuter passengers and their rerouting decisions under metro operational disruption. A cumulative prospect theory (CPT) based model is proposed to capture commuters’ mental activity and behavior from individual perspective considering heterogeneities, including time value, requirement of arrival time, sensitivity of cost and attitudes toward risk. Thus, commuters’ rerouting decision among multiple modes such as metro, bus, taxi and walking, can be effectively and accurately identified, which successfully overcomes the limitation of simplification and assumption in traditional methods. Case study of Beijing metro network and corresponding data of Automatic Fare Collection System (AFC) under disturbance in real world proves the effectiveness of the presented method.
Design of Semiconductor Synchronous Buck Converter based on GaNWide-bandgap
Authors: Jing-ran Ma , Yao-jun Qu , Yan-xia Song , Shunshoku Kanae , Jing Bai 
Published: April 2020

Abstract
Aiming at the limited switching frequency of traditional silicon (Si) based devices and its huge switching loss when working under the high-frequency conditions, this paper proposes a synchronous buck converter based on GaN power devices with good switching performance and low loss. In this paper, the detailed parameter design method and simulation circuit were given. This paper also conducts thermal stability analysis. Finally, the simulation experiment proves the feasibility and effectiveness of this theory.
Research on New Macro-Moving 3D Mouse Based on 3-UPS Space Parallel Mechanism
Authors: Wendi Xie , Yu Rong Zhao , Xia Peng 
Published: April 2020

Abstract
This paper describes a new macro-moving 3D mouse with STC89C52 chip as the control core, combined with A/D conversion chip, sensors, USB interface and using 3-UPS space parallel mechanism. The 3D mouse has obvious motion perception, good real-time performance, high reliability, excellent technical performance, convenient operation, low cost and excellent performance, which meets people’s needs and has a broad application prospect.
Application of post-processing technique in diagnosis of coronary computed tomography angiography imaging
Authors: Zhang Tianqi , Xu Nannan , Gong Tingting , Li Bo , Liu Jianhua , Yuan Qinghai , Wang Lei 
Published: April 2020

Abstract
Coronary artery disease (CAD) as a common chronic disease, acute myocardial infarction (AMI) is one of the most urgent manifestations of CAD which had a highly mortality. Coronary computed tomography angiography (CCTA) combined with post-processing technique was the best way to diagnosis CAD in routine examination. By various postprocessing techniques, such as Volume rendering (VR), Curved planar reformations (CPR) techniques can speed up the complicated processing of CCTA and improve the diagnostic accuracy of radiologists.
Feasibility of applying computed tomography imaging in acute aortic syndrom
Authors: Yuan Biying , Gong Tingting , Jin Longhai , Xu Nannan , Liu Jianhua , Yuan Qinghai , Wang Lei 
Published: April 2020

Abstract
Acute aortic syndromes (AAS) is one of the most frequently symptoms with acute chest pain. Aortic computed tomography angiography can assess aortic dissection, penetrating aortic ulcer, and intramural hematoma effectively. Imaging features include false and true lumen of aorta in aortic dissection. False lumen is usually larger than true lumen. Imaging features of intramural hematoma include thickened wall which is more than 5 mm, the thickened wall is not enhanced after injection of contrast agent. Imaging features of penetrating aortic ulcer include niche from the aortic wall. Post-processing methods include multi-planar reconstruction (MPR), curved-planar reconstruction (CPR) and volume rendering (VR). These methods are common techniques to assess acute aortic syndromes.
Magnetic Leakage Simulation of Converter Transformer and Shielding Analysis of Different Material Shielding Devices
Authors: Zhou Junfeng , Wang Shuo , Peng Chong , Wu Peng , Wang Ning , Yang Shuqiang 
Published: April 2020

Abstract
Due to the complex structure and large winding current of converter transformer, the magnetic flux leakage was more serious, which was prone to local overheating and affected the safe and stable operation of transformer. Therefore, it was necessary to study the distribution of magnetic flux leakage in transformer. In this paper, the three-dimensional model of 500kV converter transformer was established based on the actual drawings, and the magnetic flux of iron core, fuel tank and distribution of magnetic flux leakage between high and low voltage winding was calculated under time-harmonic field by using the finite element method. The shielding method combining strip shielding plate and lung lobe shielding device was adopted, and the influence of different material shielding devices on the distribution of magnetic flux leakage was compared and analysed. The research results showed that when the shielding device adopted new material, the maximum magnetic flux leakage of the fuel tank decreased to 0.22T, decreasing amplitude of 65.62%, and the magnetic flux leakage in winding space decreased by 20.83%, which significantly improved the shielding effect.
Design of Autonomous Obstacle Avoidance Unmanned Boat System for Wetland Monitoring
Authors: Chen Hengyu , Wu Zhuosi , Zheng Ruidong , Zhang Shesheng 
Published: April 2020

Abstract
In view of the drastic reduction of wetland area, serious pollution, low efficiency of prior art and many factors, this paper proposes an autonomous obstacle avoidance unmanned boat system design for wetland monitoring. The system adopts D* algorithm and improved LOS guidance law to realize unmanned ship track control and global path planning, and combines Yolov3 algorithm for target recognition and partial data acquisition during navigation to achieve autonomous obstacle avoidance navigation. The sensor is used to collect the wetland environment information and upload it to the shore monitoring centre to complete the automatic data collection and monitoring of the wetland. The system can improve the efficiency and quality of wetland monitoring, reduce labor costs, and can be widely used in wetland monitoring automation, marine environment monitoring, and cloud service platforms.
Design and Simulation Analysis of Cutter in New Sewer Dredging Device
Authors: Hu Xueqing , Liang Peijun , Shen Yifan , Tian Aoxiang , Yang Menglan 
Published: April 2020

Abstract
The existing sewer dredging method can not meet the needs of high-speed operation of the city. Through the research and analysis of the cutterhead of the shield tunneling machine, combined with the requirements of the sewer environment and dredging work, three-dimensional model, Ansys simulation analysis and physical experiments are adopted. In this way, a new type of spoke panel cutter head was designed. The cutter head adopts a new type of scraper. The structure is exquisite and the assembly is simple. It can effectively clear the sediment in the sewer environment and complete the initial recovery of the silt.
A Reinforcement Learning Method to Scheduling Problem of Steel Production Process
Authors: Guo Fang , Li Yongqiang , Liu Ao , Liu Zhan 
Published: April 2020

Abstract
In this paper, a reinforcement learning method is utilized to solve the steel production scheduling problem. Based on characteristics of steel production processing, the model of hybrid flow-shop scheduling problem is constructed. Then the model is attributed to a Markov Decision Process, and corresponding states, actions, reward function are put forward. When trading off the exploration and exploitation, an improved ε -greedy policy is designed. Finally, this hybrid flow-shop scheduling model based on reinforcement learning is applied to the scheduling example of steel production processing. Compared to genetic algorithm, the reinforcement learning method gets the better result.
Design and Research on Multifunctional Dredging Machine for Urban Sewer
Authors: Tian Aoxiang , Yang Yanfang , Shen Yifan , Liang Peijun , Hu Xueqing , Yang Menglan , Liu Zili , Li Yongchao 
Published: April 2020

Abstract
The drainage pipeline is responsible for the collection and transportation of urban sewage and wastewater, and is one of the necessary facilities for the normal operation of the city. Therefore, it is of great significance to unblock and prevent the sewer pipe. A new type of dredging machine is designed to overcome the defects of the existing dredging method. The machine consists of two parts: a mechanical module and a control module. The machine adopts the idea of mechatronics which realize the automatic operation of the multi-function dredging machine, and it has low cost and good market economy benefits.
Image description by harmonic Fourier moment
Authors: Hu Hai-tao 
Published: April 2020

Abstract
In this paper, Two kinks of orthogonal moments are constructed with Trigonometric functions, named Harmonic-Fourier moments (HFMs), which include Cosine-Fourier moments (CFMs) and Sine-Fourier moments (SFMs). These kinds of moments can be used in image and object analysis. The radial functions of HFMs have more zeros than Zernike polynomials of the same degree so that the property makes HFMs have stronger ability in image description. Furthermore, the formulas of HFMs are extremely simple. This property makes it possible that HFMs can be computed at a higher speed.