bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Data Management of Marine Disaster Mitigation Based on Big Data
Authors: Chen Chen , Liu Xunan , Zhang Yao , Tong Rui 
Published: October 2020

Abstract
With the explosive growth of ocean data, ocean big data has received more and more attention. It mainly analyzes and summarizes the current research status and key technologies of ocean big data, and focuses on the examples of machine learning model prediction research in ocean big data. With the advancement of 3S technology, China’s marine monitoring network has achieved all-round development, including air, ground, and sea monitoring platforms, which has promoted the rapid growth of marine big data from the original GB and TB levels to PB levels. Taking the typhoon disaster search and situation display implementation as an example, the thesis has preliminarily completed the realization and application of the intelligent ocean search engine. Combined with the design of typhoon disaster search and the overall structure and function design of the situation display, module development was carried out, and the development was initially completed to realize the business data management of marine typhoon disaster mitigation based on big data.
Research on Key Technologies of Data Warehouse Construction in Unified Data Center in Electric Power Enterprises
Authors: Li Ting , Fu Ting , Hong Chen , Li Jinhu , Lin Haiyu , Lin Han 
Published: October 2020

Abstract
On the basis of studying the existing problems of power enterprise informatization at this stage, the paper introduces the application of data warehouse technology in power system, proposes to use enterprise-level data warehouse as the data centre, and describes the information of power enterprise based on data warehouse strategy The overall design of the system model; Finally, specific solutions and application examples are given for the design of the dimensional model of the power enterprise data warehouse.
Research on Unstructured Data Processing Technology in Executing Audit Based on Big Data Budget
Authors: Hou Benzhong , Zhang Yongqiang , Shang Ying , Liang Xin , Liu Tiantian , Su Jiangwen 
Published: October 2020

Abstract
The wave of big data has promoted the transformation of auditing technology, which has brought about tremendous changes to auditing models and auditing methods. The traditional audit data analysis methods cannot analyze semi-structured and unstructured data, nor can they meet the requirements of the development of audit informatization in the context of big data. New ideas and methods for audit data analysis are urgently needed. In this context, the article proposes an audit data analysis framework based on text mining, and describes the detailed audit data analysis process of collecting and storing, mining and analysing, summarizing and publishing. By using text mining technology to mine the unstructured original audit data collected, different text mining models are established according to the clear audit requirements, the audit data is analysed, and then audit doubts are found, and ultimately formable audit evidence and audit trail. The construction of the framework aims to provide new ideas for big data audits to reduce the risk of big data audits and improve audit quality.
Development and Classification of Computer Software Testing Technology
Authors: Pi Chenchen 
Published: October 2020

Abstract
With the rapid development of computer technology, software is more and more used by people, but serious economic losses caused by software errors also occur from time to time, so the quality and reliability of software have become issues that must be paid attention to at present. Software testing, as the only method to verify whether the software can complete its function, has attracted people’s attention. Based on this, this article has studied the development and classification of computer software testing technology. First, it gives an overview of software testing, introduces the definition, purpose, principles, and processes. Then analyzes the development of software testing technology, including its development process, current status, and future development trends, and finally classifies software testing from three aspects. This article has a certain significance for comprehensive understanding of software testing.
Research of speed measurement and prediction system for railway train based on single chip microcomputer
Authors: Zhang GuangCai , Guo Lei , Liu Yuting , Gao Xiuqian , Wang Zhihao , Wang Zhanshan , Wu Xiaoguang 
Published: October 2020

Abstract
The main content of this research is how to know the speed, location and arrival time of the rail train, and provide the information for passengers to take the rail train. Because urban rail transit is built in the underground environment, there will be some limitations in the selection of speed measurement and positioning methods for rail trains. This research is based on the actual situation, using the hardware system based on the single chip microcomputer as the vehicle equipment, real-time speed measurement, positioning and prediction of the rail train. Provide effective data information for train operation, dispatching and passengers’ taking.
Simulation of Switching Operation Based on Virtual Reality Method
Authors: Li Xianqi , Zhang Junwei , Cheng Jiankun , Luo Qiang 
Published: October 2020

Abstract
Misoperation of power system switching causes many equipment failures and personal injuries every year. The switching operation simulation system is an important “five prevention” measure to ensure the correctness of operation tickets and prevent electrical misoperation. Based on the virtual reality method, the paper discusses the application of 3D simulation technology in high and low voltage trip operation, and analyses the function, structure and main technical scheme of 3D simulation training system for high and low voltage trip operation according to the particularity of standardized operation training. Finally, the idea of the future development of the three-dimensional simulation training system for high and low voltage trip operation is put forward.
Research on a Text Topic Mining Algorithm Based on Big Data
Authors: Yang Zequn 
Published: October 2020

Abstract
Topic modeling has been widely used to mine topics from documents. However, a key disadvantage of topic modeling is that it requires large amounts of data (e.g. thousands of documents) to provide reliable statistics to generate coherent topics. However, in practice, many document collections do not have as many documents. Given a small number of documents, the topic generated by the classic topic model LDA is very poor. Even in the case of a large amount of data, unsupervised learning of the topic model will still produce unsatisfactory results. In recent years, knowledge-based topic models have been proposed which require human users to provide some prior domain knowledge to guide the model to generate better topics. Our research takes a completely different approach. We recommend learn like humans, i.e. retain the results learned in the past and use them to help future learning. When faced with a new task, we first mine some reliable (transcendental) knowledge from past learning/modeling results, and then use it to guide model inference to produce more coherent topics. This approach is possible because there is readily available big data on the Web. The algorithm mines two forms of knowledge: the chain must be (Meaning two words should be in the same topic) and cannot be linked (meaning two words should not be in the same topic). Two issues of automatic knowledge mining are discussed, namely the problem of erroneous knowledge and knowledge transferability. Use from the experimental results of the review documents of 100 product areas show that the method proposed in this paper has a significant improvement over the state-of-the-art baseline.
A model-based method for bearing fault detection using motor current
Authors: Wang Chen , Wang Min , Yang Bin , Song Kaiyu 
Published: October 2020

Abstract
Existing bearing fault diagnosis approaches utilize signal processing techniques in combination with vibration measurements. The common vibration measurement method, using accelerometer, has disadvantages such as position-constrains, high costs and external interferences. Meanwhile, the commonly used modelling methods of motor are not able to analyse both mechanic and electromagnetism simultaneously. For detecting the fault-related frequencies in motor current, a mathematical model is developed in this paper based on modified winding function approach (MWFA). The simulation results show that the fault-related characteristic frequencies can be exactly found in the spectrum results of motor current. The proposed method is proven to be feasible.
Genetic algorithm to improve Back Propagation Neural Network ship track prediction
Authors: Chen Xingqiang , Meng Xin , Zhao Yue 
Published: October 2020

Abstract
This paper studies a method that uses genetic algorithm to simultaneously optimize the number and weights of Back Propagation (BP) neural network neurons to predict the ship’s trajectory, so as to accurately predict the ship’s trajectory. The trajectory of the ship can be predicted by the neural network, but the selection of the setting parameters of the neural network requires rich experience and a large amount of attempts. In this study, the genetic algorithm (GA) is used to optimize the structure and weights of the neural network at the same time, avoiding the manual setting of parameters and improving the accuracy of the neural network prediction.
The Design of Height Control System of Fully Autonomous UAV Based on ADRC-PID Algorithm
Authors: Zang Zhibin , Ma Zhonggang , Wang Yong , Ji Fulong , Nie Haitao , Li Wenjin 
Published: October 2020

Abstract
In order to solve the problem of low data accuracy due to UAV height sensing equipment such as GPS, barometer, ultrasound, etc., a control system used on multi-rotor aircraft was designed to achieve UAV autonomous altitude cruise. In response to this problem, we introduce an inertial measurement unit (IMU), and use the IMU to calculate the system acceleration (ACC), and use the Kalman algorithm to predict altitude, thereby eliminating altitude drift caused by insufficient sensor accuracy and errors. In addition, the ADRC-PID joint control algorithm is also introduced to control the attitude of the aircraft, achieve control compensation, and finally control the height of the drone through the three-loop cascade PID.
Optimal view selection method based on object detection
Authors: Meng Fanwu , Xu Yichen , Huang Zhipeng , Wang Lizhong 
Published: October 2020

Abstract
Industrial parts detection are often studied in three-dimensional space, because of subparts occlusion, the choice of view has a great impact on the detection results. In this paper, the method of object detection combined with the 3D CAD model is proposed, the object detection model based on convolutional neural network was used to screen the visual angle, so as to eliminate the influence caused by the occlusion of parts, which provides a general method for the selection of the optimal view.
Emproved Z-Source Dynamic Voltage Restorer Based on the Minimum Energy
Authors: Li Yongxiang , Li Mengda , Ma Menglin 
Published: October 2020

Abstract
Dynamic voltage restorer (DVR) is a good choice to solve voltage sag problem. Aiming at the shortcomings of traditional DVR, an improved DVR model is proposed. The improved DVR took H-bridge inverter as the main frame, and the energy storage unit was based on the battery. The coupling unit directly connected the capacitor in LC filter to the power grid instead of the transformer, and connected a Z-source network between the energy storage unit and the inverter unit to improve the voltage compensation range and eliminate the impact of the series transformer. Finally, by connecting a current compensation device in parallel on the load side, combined with the minimum energy compensation control strategy, the amplitude and phase of the load voltage compensated by the improved DVR device were consistent with that before the drop. A MATLAB / Simulink simulation model is built to verify the effectiveness of the proposed improved DVR. The simulation results verify the effectiveness of the proposed improved DVR.
Research on feature extraction of veneer defects based on improved SURF algorithm
Authors: Deng Zheng Yan , Wang Yu Zeng , Zhang Hao Ran 
Published: October 2020

Abstract
In this paper, when the feature extraction algorithm extracts the veneer defect features, due to the veneer rotation and a large number of surface textures, the problem of poor feature matching and long time consumption occurs, and an improved SURF algorithm is proposed. The feature matching experiments of the three types of defects such as knots, dead knots, and holes in the veneer were carried out. The experiments verified that the algorithm had good rotation invariance and high efficiency when extracting veneer defect features.
Research on Zero-crossing Point Prediction Technology of CFI Based on A New Adaptive LS Algorithm
Authors: Hu Xiuming , Wan Hongyan , Zhou Ya 
Published: October 2020

Abstract
Fast identification of fault current parameters and accurate prediction of current waveform zero-crossing are the key technologies of controlled fault interruption(CFI). Aiming at the problem that the least squares(LS) algorithm has truncation error, this paper propose a new adaptive least square(LS) algorithm using the change rate of the fault current, avoiding the approximation of the attenuated DC decaying component. Based on the fault current simulated by MATLAB, the results show that the new algorithm has higher accuracy when the noise is not less than 40dB and the data window is more than 10ms. For the actual simulated fault current data by PSCAD, the proposed algorithm also had high accuracy, which can meet the requirements of CFI.
Exploration of building online control simulation training platform
Authors: Zhang Xiaoyan , Huang Longyang 
Published: October 2020

Abstract
In this paper, it is suggested to build an online air traffic control simulator training platform and incorporate it into the air traffic control simulator training system. The platform is a distributed multi-user training system, which can realize the goal of free remote training for air traffic control students on the computer. Air traffic control students access the platform through a browser and independently train control simulation skills. Teachers can query students’ training results online and in real time through the information management service platform, and give comments and remote guidance. Online control simulation training platform can enrich the training methods of air traffic control students control practical skills, effectively alleviate the problems of geographical space limitation, training time limitation, training teachers shortage and so on in control simulation training, improve the practical ability of students, and promote the safe and high-quality development of air management industry.
State Estimation of Distribution Network Based on KH–QPSO Optimization Algorithm
Authors: Xiao Fu , Liang Pei 
Published: October 2020

Abstract
Accurate state estimation is the basis to ensure the normal distribution network operation. To solve the nonlinear optimization problem of distribution state estimation, a state estimation model supply was established by taking the node load value and the output value of distributed power supply as state variables. This paper proposes that Krill herd-quantum behaved particle swarm optimization (KH-QPSO) can avoid premature convergence, and the minimum value is rapidly obtained. In particular, KH and QPSO allow all individuals to obtain truly global optimal solutions without introducing additional operators into the basic KH and QPSO algorithms. An IEEE-33 system is used as a simulation example, which has obvious advantages over other distribution network state estimation models, and the estimation results can provide valuable information for distribution network enterprises and managers.
Boundedness and Asymptotic Behavior of Some Nonlinear Difference Equations
Authors: Gu Juan , Liu Yinghua , Ju Guiling , Zhan Huan 
Published: October 2020

Abstract
The research mainly studies a class of two order nonlinear differential equation, through an extension of the discrete Bihari type inequality and Growell type inequality, through the search for appropriate inequalities, to transform the solution of the equation, get the equation boundedness and asymptotic behavior, and draw the corresponding conclusion.
Mathematical Model of Gunfire Location
Authors: Zhang Feimeng , Zhu Xiaoling 
Published: October 2020

Abstract
This paper makes use of the feature that the supersonic projectile will generate shock signals when flying, a system composed of 5 acoustic sensor arrays is constructed to detect the orientation and distance of the shock wave, and to determine the location of the terrorists hiding. A new method to determine the location of terrorists is established in the model. This model does not require projectile coefficient calibration, which solves a big problem in the development of the system.
Spatial Load Forecasting of Urban Power Grid Based on Regulatory Detailed Planning
Authors: Wang Kai , Zhang Guomin , Man Hongwei 
Published: October 2020

Abstract
Spatial load forecasting is a basic work in urban power grid planning. Spatial load forecasting should not only forecast the future load, and the spatial distribution of future load should be provided. Only based on the urban controlled detailed planning, determine the future load of each plot, so as to determine the location and capacity of the substation, model and path of line, the installation of switchgear and its input time and other decision variables, to plan.
Mathematical model and diagnosis of rotor fault in synchronous condenser
Authors: Chao Wei , Yuandi Lin , Yuliang Zhang , Hongzhong Ma 
Published: October 2020

Abstract
With the application of new energy in grid-connected system and the development of UHV DC transmission, the grid's requirements for reactive power regulation have gradually increased. Considering that, large-scale synchronous condensers have been put into use again. However, it is difficult to extract the characteristic signal of the inter-turn short-circuit fault in rotor windings of synchronous motors. In order to improve the stability of condensers, a certain relationship between the excitation current and the number of turns is derived using the Parker equation in the dq0 coordinate system, and the differential equation simulates the excitation current. Then the characteristic energy value of the fault signal is extracted through wavelet packet decomposition and reconstruction, and it is input to the RBF neural network for fault diagnosis. It is proved by MATLAB simulation that the diagnostic method proposed in this paper can effectively detect the degree of short-circuit faults between the turns of the rotor in condensers.
Research And Practice Of Dry Wet Combined Cooling For 600 MW Steam Turbine Generator Unit
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Daming li , Yu Xiao 
Published: October 2020

Abstract
Taking 600MW steam turbine generator set as an example, this paper analyzes the dry wet combined cooling scheme of auxiliary cooling water system, so as to make rational use of local limited water resources.
Steam Temperature Of 600MW Subcritical Boiler Unit Research And Practice Of Upgrading To Ultra Supercritical Parameters
Authors: Shengxiang Jin , Liuhu Wang , Jinsong Zhang , Qi Zhang , Qianyu li , Wei Bai , Chuan He , Yong Zhou , Daming li , Yu Xiao 
Published: October 2020

Abstract
In order to save energy and improve the working efficiency of the unit, this paper analyzes the data improvement after the steam temperature of the subcritical boiler unit rises to the ultra supercritical parameters through the transformation of the unit and makes a summary of the change of the boiler efficiency. In order to effectively improve the economic benefits, environmental protection and energy saving effect.
Design of Range Sensor for Transmission Line Fault Detection in Covered Conductor Overhead Grid
Authors: Wang Haitao , Cheng Yuan , Zhou Zandong , Ge Huangxu , Guo Yifan 
Published: October 2020

Abstract
As an important detection means of partial discharges, range sensor is widely used in power system in China. Due to the complex and open environment around covered conductor overhead distribution networks, misjudgement and leakage in long-distance of traditional ultrasonic sensors often occur. Aiming at this problem, an range sensor with high sensitivity and directivity is designed in this paper. In this paper, the theoretical model of the ultrasonic screening can is established by COMSOL simulation software, and the structure of the screening can is designed reasonably by analyzing the concentr-ation and directivity of the sound field of the model. In addition, based on the ultrasonic characteristics generated by partial discharge of overhead insulation wire, the ultrasonic probe with a central frequency of 40kHz was selected, and an amplification and filtering circuit was designed to reasonably improve the signal-to-noise ratio of ultrasonic detection signal. The results of laboratory test and field application show that the sensor can accurately detect and locate the partial discharge of covered conductor overhead distribution networks.
Control system of gas exhausting in tank truck
Authors: Ji Shanren , Zhong Haijian , Sun Yeqing , Xia Xinhua , Li Qing 
Published: October 2020

Abstract
In order to solve the problem of exhausting gas on the cleaning process of tank trucks in our country, a set of control device for exhausting gas based on Single Chip Microcomputer is developed. The device is composed of Driving Structure, Feedback Signal and Signal Processing. The Displacement Sensor, Tension Sensor, Water Level Sensor and Methane Sensor are used to generate signals, which are processed and judged by the Single Chip Microcomputer, and the corresponding instructions are sent out according to the judgment results to control the operation of the Driving Structure. Compared with the traditional Steam Fumigation Method and High-pressure Water Cleaning Method, the system is more efficient and more environmentally protection.
Analysis on Need of FO/AO on Military Production Lines
Authors: Haijun Yin , Xinghua Qiao , Xueming Su 
Published: October 2020

Abstract
Based on the differences on managing contents, targets, model, roles and other aspects between Planning Sheet and FO/AO, analysis is conducted on the advantages of use of FO/AO in aircraft technical management and production management and comes to the conclusion that it is important and feasible to push the use of FO/AO on military production lines all around.