bluuebunny/crossref_metadata_2025_split huggingface dataset:
Random forest and watershed transformations for mapping quasi-circular vegetation patch using fused multispectral CBERS-04 images
Authors: Liu Qingsheng 
Published: March 2020

Abstract
To identify the quasi-circular vegetation patches (QVPs) and monitor their pattern dynamic is the most essential procedure for studying the establishment, encroachment, and maintenance of the QVPs. High resolution satellite remotely sensed technique is a cost-effective approach to distinguish the QVPs. However, the adhesion between the QVPs or between the QVPs and the vegetations of other shapes makes the detection accuracy of the QVPs low. This study used two-seasonal CBERS-04 pansharpened multispectral images to detect the QVPs by integrating random forest classification and watershed transformation image segmentation technique. The results showed that the method proposed by this study could raise the detection accuracy of QVPs, and 5 m spatial resolution CBERS-04 pansharpened imagery may be enough to obtain the number of the QVPs, but not sufficient to calculate the area and shape of QVPs. In the future, more advanced image segmentation algorithms and finer resolution images should be applied to detect the QVPs.
Design of State Evaluation Platform for Distribution Automation Terminal unit Based on AHP
Authors: Xiao Jinxing , Yao Kaiqiang , Huang Liangliang , Tang Heng 
Published: March 2020

Abstract
The requirement of modern power grid for distribution automation is becoming more and more stringent and standardized. Aiming at the situation that the large number of distribution automation terminal units brings to for a lot of inconvenience of maintenance work, this paper establishes a state evaluation system of distribution automation terminal unit based on AHP, and designs a software platform for the system. The software platform occupies little memory, and has friendly interface and is simple. It only needs to input the state of the terminal unit to get the evaluation level of the terminal unit. The software platform can also modify the weight score of each index according to the evaluation results, to constantly revise the judgment matrix and evaluate the terminal more accurately. It provides a reference for terminal state control of distribution automation.
Research on Risk Prevention Measures of Network Information Security in Power Systems
Authors: Lai Ji , Wu Jia , Jiang Yuchen 
Published: March 2020

Abstract
The imperfect network information security technology restricts the development process of network informatization of power systems. This paper mainly studies the network information security of power systems, analyzes the risks faced by power system network operation, and puts forward some preventive measures for the network information security of power systems.
Research on Remote Cooperative Plotting System for Power Emergency Commanding
Authors: Deng Chuang , Liu Yang , Wu Jiayu 
Published: March 2020

Abstract
Geographic information system (GIS) platform is one of the most important tools in electric emergency command area to improve the command efficiency. The GIS systems available only hold basic data and mainly used to browse, therefore can’t show the information and situation in the process of emergency command. This paper proposes a remote collaborative consultation system architecture for power emergency based on GIS. The collaborative plotting on the same GIS platform through computer network remote terminal is realized, using the GIS map plotting technology and XML symbols drive technology. System plotting symbols situation shows the time series mode based on event driven, can be displayed in chronological order and calculate the huge amounts of information along with emergency events. It can get the emergency situation quickly, and promote emergency command efficiency significantly.
Design of low noise electrical system for uncooled long wave infrared imaging
Authors: Zhu Depeng , Zhan Weida , Tian Yong , Wei Ranran , Hao Ziqiang , Tang Yanfeng 
Published: March 2020

Abstract
The research and design of low-noise imaging circuit is of great significance to enhance the imaging quality of the detector. To improve the imaging quality of an uncooled infrared imaging system, a low noise imaging circuit is designed. The generation scheme of bias voltage is emphasized, and the design methods of timing drive module and ADC conversion module are briefly described. A filter with a pass-band cutoff frequency of 1 Hz is designed at the bias voltage output to filter out high-frequency noise. The experimental results show that the precision of bias voltage is over 98% and the RMS noise of bias voltage below 1kHz is 1.4uV. The feasibility of other modules is verified by simulation and experiment.
Research on Line Selection and Positioning of Zero-sequence Current Differential Protection in Distribution Network under the Power Internet of Things in Flexible Grounding System
Authors: Qiu Yutao , Wu Jiayi , Cai Yihang , Zhou Jie , Wang Lei 
Published: March 2020

Abstract
In 2019, China’s power industry proposed the goal of building a “ubiquitous power Internet of Things”. Through the ubiquitous construction of the Internet of Things, the traditional relay protection technology system gradually developed towards the intelligent direction. This paper mainly studies the fast zero-sequence current differential protection using the improved mutation quantity algorithm under the communication mode of power wireless private network. Through MATLAB simulation, it is proved that zero-sequence current differential protection can effectively realize fault location when there are overhead and cable lines in flexible grounding system in complex distribution network.
The Concept Layer, Feature Layer and Landing Layer of Ubiquitous Internet of Things in Power System
Authors: Wu Jia , Zhang Lijuan , Lv Hongzhi 
Published: March 2020

Abstract
With the deep reform and development of energy and power industry and the arrival of the era of Internet of everything, the ubiquitous Internet of Things in power system (IOTIPS) emerges as the times require. However, what is the implication of ubiquitous IOTIPS? What are its inherent attributes? How to get results in information system, digital economy and new business model? These problems have become the current focus of the important issues. This paper considers the above three dimensions.
Vienna Rectifier for DC Charging Pile
Authors: Chou Jun , Zhang Mingda , Wang Sijin , Sun Yihui , Bao Jianyu 
Published: March 2020

Abstract
A three-phase three-level Vienna rectifier is proposed to improve the power factor and reduce harmonic content for DC charging pile. Based on current hysteresis comparison control strategy, voltage deviation of midpoint of dc-link capacitor is introduced into current reference, and voltage balance of midpoint of dc-link is realized by adjusting the dc offset of current reference. Finally, the simulation model of Vienna rectifier based on PSIM is established, and the feasibility of the control method is verified under the conditions of voltage and load stepping. Under the steady-state condition, the power factor at the grid side is greater than 0.99, and the current harmonic distortion rate is less than 3%.
Design and Performance Testing of a 1.2 kA Peltier Current Lead
Authors: Hu Nannan , Ma Tao , Mei Guihua , Song Meng , Liu Mingchuang 
Published: March 2020

Abstract
Peltier current lead (PCL) is a device based on Seeback effects. PCL can reduce the leakage heat of the high-temperature superconducting (HTS) cable, which could improve the overall operating efficiency of the HTS cable. The numerical calculation and simulation analysis model of the PCL based on Bi2Te3 thermoelectric materials is established, and the optimized design method of PCL is obtained. Consequently, the design and manufacture of a kA-class PCL with 8 parallel connected Bi2Te3 thermoelectric elements is completed. The experimental results show that the maximum current deviation of the PCL under different transmission currents is less than 5 A, and the maximum temperature difference is less than 10 K, which is consistent with the designed value. At the same time, the heat leakage is approximately 32 W/kA at the rated current of 1200 A, which is about 25% lower than conventional copper current leads.
Effect of Thermal Aging on Breakdown Strength of Epdm Rubber
Authors: Wang Ruocheng , He Yunyi , Wang Zhao , Kang Hongwei , Ma Jiawei , Jin Haiyun 
Published: March 2020

Abstract
This paper takes the Ethylene Propylene Diene Monomer (EPDM) insulation layer of 220kV integral prefabricated cable joint as the research object, performs accelerated thermal aging experiments at 130°C, 145°C, and 160°C, and then conducted Fourier Transform Infrared spectroscopy (FTIR), Thermogravimetric Analysis (TGA) and power frequency breakdown strength test successively. The experimental results show that thermal aging results in long molecular chain degradation, bond breaking and oxidation of EPDM.The initial decomposition temperature decreases gradually with the aging time and the thermal stability decreases gradually under the action of thermal aging. The breakdown field strength decreased by 13.3%, 21.2% and 22.5% respectively at the end of thermal aging, and the decline rate increased with the aging temperature. The main reasons for the decrease of breakdown strength are the precipitation of crosslinking agent, the breaking down of molecular chain and the generation of oxygen-containing groups.
Calculation of working temperature of water wall of ultra-supercritical boiler
Authors: Li Yang , Jin Yingai , Jiang Zhipeng 
Published: March 2020

Abstract
Ultra-supercritical coal-fired power generation technology is an advanced and efficient power generation technology. Due to the high parameters of the ultra-supercritical boiler, the heat transfer of the working substance in the water wall is complicated. Therefore, this paper takes an ultra-supercritical boiler as the research object and uses MATLAB to calculate the temperature of working substance inside the water cooling wall. The results show that when operating under low load there is a phase change zone in the working substance of the water cooling wall, the heat transfer is complex in this zone, and the temperature of the water cooling wall may rise to dangerous range. Therefore, it is necessary to pay attention to the fluctuation of temperature of working substance.
Thermal Stability Analysis of a Stainless Steel Reinforced Stacked YBCO Cable
Authors: Hu Nannan , Ma Tao , Mei Guihua , Song Meng , Li Tingting 
Published: March 2020

Abstract
The thermal stability analysis of a stacked strand consisting of the YBCO tapes with square cross-section is presented. Symmetrically arranged YBCO tapes are sheathed by stainless steel. The thermal stability characteristics, including the minimum quench energy (MQE) and the quench propagation velocity (QPV), are calculated by finite element analysis method. The experimental results show that the MQE and QPV of stainless steel reinforced strand are consistent with the simualtion results.
Modelling and Analysis of Dielectric Charge of CMUTs
Authors: Li Jucai , Li Yan , Zhang Peiyu 
Published: March 2020

Abstract
Capacitive micromechanical ultrasonic transducers ( CMUTs ) have the remarkable advantages that the traditional piezoelectric ultrasonic transducers do not have, and they are expected to replace the traditional piezoelectric ultrasonic transducers as the mainstream product in the market. However, the dielectric charging problem has a great influence on the normal work of CMUT, and it is also one of the main obstacles to its commercialization. In this paper, the influence of dielectric charging is introduced, and then the model of non-contact charging and contact charging is established to analyse the mechanism of charging. The influencing factors of dielectric charging were found out, and the influence of each influencing factor on charging was analysed. The charging of the diaphragm and the insulating layer were compared. The results showed that silicon dioxide is less charged than the silicon nitride. Finally, based on the analysis of non-contact charging and contact charging, a method of changing the shape and coverage area of the insulating layer to reduce dielectric charging is proposed.
Researches on Visualization of Switching Arc
Authors: Zhong Jianying , Tan Shengwu , Yao Yongqi , Wang Zhigang , Ye Sanpai , Wang Zhengqi 
Published: March 2020

Abstract
The change of the arc shape directly affects or determines the breaking performance of the arc extinguishing phase and the medium recovery phase after the arc. Through the diagnosis of the arc shape, the arc shape can be related to the performance of the switch. Therefore, the study of the arc shape plays a key role in the development of the large capacity switch. The collected arc shape change data was used to visualize the 2D dimensional arc model by extracting the edges and observing the changes of arc column diameter. The evolution of the arc was explained in detail from the three stages of arc initiation, stable ignition and quenching. From the results we can see: The upper edge position of the arc is maintained between 90-91 pixels, and the lower edge position satisfies the linear increasing relationship of the linear regression equation, and the correlation coefficient is greater than 0.95. The obtained 2D dimensional visualization data is in good agreement with the actual arc shape change, and can be used as a criterion for the quality of the switch.
Efficient Algorithm of Splitting and Merging Classes on Elective Course of College Education
Authors: Liu Jian 
Published: March 2020

Abstract
It should take human intervention to adjust the number of each class after the students select elective courses on web by educational administration system in college, because the numbers are often less than the lower limit. This paper puts out an efficient scheduling algorithm to get the resolution of splitting and merging classes by linear time complexity computing on mathematical model. It introduces in detail the principle, the precondition, the procedure and the operation of splitting and merging classes, which illustrated with several charts, diagrams, pseudo-codes in key steps and some notes, and at last validated it by example. Then it could extend to similar issues, for example enrolling and distributing issue.
Study on the Relation between Gender Characteristics of CFO and Earnings Management
Authors: Dong Li , Wu Baozhong , Wang Ping 
Published: March 2020

Abstract
Based on panel data of A-share listed companies in Shanghai and Shenzhen Stock Exchange from 2013 to 2017, according to the "Upper echelons theory", the relation between gender characteristics of CFO and earnings management was empirically tested with ordinary least squares(OLS) regression model. The study proves that:(1)CFO gender has a significant impact on earnings management. Compared with the company with male CFO, the company with female CFO has a lower overall level of earnings management. (2)The higher the education level of female CFO, the stronger the negative correlation with earnings management degree. This paper provides a new perspective for the study of the influencing factors between CFO gender and earnings management, and also broadens the angle for the research of company earnings management, which has certain significance for the appointment of senior executives of listed companies and the promotion of the healthy development of China’s capital market.
A Method of Retrieval Target Information of Social Network Platform Based on Overlapping Communities
Authors: Zhang Kai 
Published: March 2020

Abstract
With the advent of the 5G era, the social network platform has become the most important way for people to obtain information daily. How to retrieve the desired target information from a large amount of information has been the research direction of researchers. This paper proposes a fast overlapping community detection method based on local neighbor information to detect the target information of the social network platform. This method preprocesses the social network platform data within a certain period of time,constructs edges between highly relevant keywords to obtain a complex network.Through the fast overlapping community detection algorithm of local neighbor information, find overlapping communities, and treat each community as a target information. This method can solve the problem that the detection accuracy of one or more keywords belonging to multiple target information is low. Experiments on a social platform verify the reasonableness and effectiveness of the method.
Answer Selection Using Multi-Layer Semantic Representation Learning
Authors: Yuan Yuan , Chen Lei 
Published: March 2020

Abstract
Answer selection is the most important module of question answering system. Mining the semantic relevance between questions and answers is the key point of answer selection. However, the answer texts often contain some colloquial expressions and redundant information in some fields. In these cases, some traditional methods of mining text features are complex and the performance improvement is limited. In this paper we investigate using deep learning to enhance the computability of semantics and eliminate the semantic gap for the answer selection module of non-factual question answering system. By integrating different networks to mine the association semantic between questions and answers, a novel multi-layer answer selection model is proposed. The shallow semantic relevance between questions and answers is mined by adding the attention mechanism to CNN, and then the features are input into Bi-LSTM model for further mining to obtain more efficient semantic representation. The experimental results show that compared with other models, our method can achieve the better accuracy in the task of answer selection.
An Image Dehazing Algorithm Based on the Improved CGAN
Authors: Li Xuelian , Chen Zhibin , Zheng Wenqian , Chang Ying 
Published: March 2020

Abstract
In order to improve the haze removal effect of image, a modified Conditional Generative Adversarial Nets (CGAN) based algorithm is proposed. In the new algorithm, the pre-trained visual geometry group (VGG) model is adopted, the DenseNet instead of the traditional U-net as the network structure of the generator, the Patch-GAN as the network structure of the discriminator, and the loss function is modified by the total variation regularization gradient. The defogged image can be obtained without estimating the projection map and the related defogging feature. The experiments indicate that our new algorithm effectively reduces the halo phenomenon and haze residue problem caused by the traditional dehazing method, and can preserve more details of the image, the structural similarity is improved from 75.9% to 92.6%.
UAV intelligent optical communication based on conditional generation against network
Authors: Mu Di , Meng Wen , Zhao Shanghong , Wang Xiang 
Published: March 2020

Abstract
This paper first introduces the advancement and importance of laser communication technology for drones., then introduced Deep Neural Network (DNN) to develop wireless end-to-end communication systems. Accurate channel state parameters (CSI) are necessary for computing DNN, but in laser communication systems, channel information is difficult to gain in advance or changes quickly with time and environment. This paper will use conditional generation network (GAN) to represent channels. The coded signal of the transmitter and the pilot data are used as condition information. By simulating the simulation results of the lognormal channel, the method can achieve high-quality transmission without clear CSI.
False Trajectory Privacy Protection Scheme Based on Location Service
Authors: Yang Chen , Yan Wei 
Published: March 2020

Abstract
When the user applies for a location continuous query service, the user location privacy may be revealed due to different types of trajectory identification. A false trajectory privacy protection scheme is proposed, which uses the real-time generation of similar trajectories to protect the user’s personal location privacy. The false location set is established by initial anonymous location selection, similar trajectory location calculation and generated location selection. The false location is used to form a false trajectory similar to the real location trajectory, which reduces the probability of attacker identification and achieves real-time trajectory anonymity based on location service. Finally, the effectiveness of the scheme is verified by performance analysis and experimental results.
Research on Clothing Classification Based on Convolutional Neural Network
Authors: Hong Ying , Lv Chao 
Published: March 2020

Abstract
Convolutional neuron network is a deep learning technology in the field of image classification and image recognition. In this paper, two convolutional neuron network structures having different convolution layers and pooling layers are designed. Each model is train and test with Fashion-MNIST dataset. The experiment results show that convolutional neuron network is an efficient method in clothing image classification. The complex structure model can achieve higher classification accuracy but it will increase the computation costs.
Research on quorum sensing particle swarm optimization based on chaos
Authors: Yu Benyan , Kang Hongwei , Shen Yong , Sun Xingping , Chen Qingyi 
Published: March 2020

Abstract
particle swarm optimization (PSO) is a kind of swarm optimization algorithm with fast search speed, high efficiency and suitable for practical optimization problems. Once it was put forward, it has attracted extensive attention of scholars in various fields. A quorum sensing particle swarm optimization (CPSOQS) algorithm based on chaos is proposed to solve the shortcomings of traditional PSO algorithms, such as poor handling of discrete optimization problems and the loss of searching ability due to the fast particle velocity decline in the later stage. Firstly, the search ability of the algorithm is improved by generating chaotic sequences and mapping them to the solution space of the definition domain; Secondly, the quorum sensing mechanism of bacteria is introduced into PSO. Chaos search was used twice in the algorithm, which improved the global search ability. CEC 2005 benchmark is used to test the performance of the algorithm. The experimental results show that among the 14 selected test functions, 11 test functions have better experimental results than the comparison algorithm.
Design and Implementation of Petrochemical 3D Model Database Platform
Authors: Li Lei 
Published: March 2020

Abstract
In order to meet the demands of petrochemical engineering enterprises for 3D digitalization management of production equipment, and realize rapid building of accident site environment, a set of 3D model database platform facing petrochemical engineering industry is designed and developed aiming at characteristics of standard, regular and repeated model of petrochemical engineering. The 3D model platform is comprised of 3D model data sub-module, interactive editing sub-module, and 3D product application sub-module. It realizes multi-dimensional and integrated information management, and effectively serves equipment management, accident emergency and employee training. With expansion of petrochemical engineering production scale, strengthening of safety requirements, ceaseless improvement of technical grade and gradual increase and complexity of production equipment and facilities, it is necessary to establish a digitalization management system for production facilities and equipment in the petrochemical engineering industry to meet demands of petrochemical enterprises for 3D digitalization management, further dig potentials of petrochemical enterprises in production and management, improve automatic information level, and make information development better serve safety production and accident emergency.