bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on High Voltage Transmission and Transfer Engineering and Environmental Protection of Electromagnetic Radiation Based on Large Data Mining Technology
Authors: Jinyang Li , Dan Yang , Rui Li , Yunkai Lei , Yiming Tang , Hanyu Wang 
Published: November 2019

Abstract
The definition of electromagnetic radiation is that when the source current or charge changes with time, a part of electromagnetic energy enters the surrounding space, which is the radiation of electromagnetic energy. By explaining the mechanism of electromagnetic radiation in high-voltage power transmission and transformation project and the influence and harm of electromagnetic radiation pollution in high-voltage power transmission and transformation project, the standard and management of electromagnetic radiation environmental protection in high-voltage power transmission and transformation project are explained. At the same time, the degree of electromagnetic radiation produced by high-voltage power transmission and transformation projects is also described, which is helpful to correctly understand the electromagnetic radiation problems of high-voltage power transmission and transformation projects and to promote the coordinated development of economy and environmental protection. Applying big data mining technology to predict the probability of failure of microcomputer protection equipment in substation, and developing an effective electromagnetic interference suppression strategy by analyzing the generated model to improve the electromagnetic environment in the substation. Combined with the actual work experience of environmental impact assessment of power transmission and transformation engineering, analyze the status of electromagnetic pollution and public participation, find problems and make recommendations.
The Study for Two-dimensional PtX2 (X=S Se Te) Which Have Geometrical Structures Fully Composed of Pentagons.
Authors: Wu Ping 
Published: November 2019

Abstract
In this paper, we mainly use the first-principles method based on density functional theory to study the structure and electronic properties of three new two-dimensional materials consisting of five-membered rings, PtS2, PtSe2 and PtTe2. Based on the structure of the pentagon tile of Cairo, the substitution of Pt, S and Pt, Se and Pt, Te between the atoms in the unequal position of the minimum repeating unit will result in different structures, and then different structures will be obtained. The obtained structure is optimized, and the phonon spectrum is calculated. Finally, the three phonon spectrum stable structures of penta-PtS2, penta-PtSe2 and penta-PtTe2 are obtained. Then we proved the stability of these three structures from the aspects of dynamics and thermodynamics. Then their electronic properties were studied. From the calculated energy band diagram, we found that these three structures are indirect band gap semiconductors.
Design and research of UT inspection tool in flaw inspection of large-size forging shaft parts
Authors: Hu Chang’an , Kong Linghui , He Min 
Published: November 2019

Abstract
With the development of mechanical equipment towards large-scale and complexity, the size and operational reliability of its key core components is gradually improved. Aiming at the problem of large radial structure size and high mechanical performance of MP1000 miner forging spindle, but low efficiency and reliability of ultrasonic nondestructive testing, which makes it difficult to detect uneven material in forging process, the finite element numerical simulation of ultrasonic flaw detection process of forging spindle is carried out by using software. By analyzing the locations of ultrasonic probes on different buses on the surface of the spindle, the edge areas of the steps and the processing of the ultrasonic probe, the problem is analyzed. The instantaneous distribution of the sound field in the hole position is summarized. The design method of UT testing special tool for large forging spindle is summarized, and the corresponding testing unique tool is designed. This tool can cooperate with UT equipment to effectively detect the uneven defects in the material of shaft parts and effectively improve the detection efficiency of ultrasonic nondestructive testing in the application of heavy forging spindle parts.
Research on the Construction of Electromechanical Specialty under the 3+4 Cooperative Training System of Vocational Education--The Direction of Industrial Robot
Authors: Lu Yaping , Song Tianlin 
Published: November 2019

Abstract
Aiming at the uniqueness of the 3+4 electromechanical profession in the vocational education system, a system for applying talents suitable for the direction of electromechanical industrial robots is proposed. School-enterprise cooperation is the foundation of laboratory construction. The combination of engineering and learning is the entry point for talent training reform. It is equipped with high-quality teachers and real enterprise practice projects to build a first-class industrial robot teaching and training system. It can support the first and second classroom teaching of industrial robot courses, can have the industrial assessment function of industrial robots, can cultivate students’ professional qualities and other functions. At the same time, it aims at the social needs of the 3+4 electromechanical profession of the vocational education system, from the aspect of industrial robot laboratory configuration, practice teaching reform implementation, and teacher team allocation, the professional construction plan is proposed to achieve the purpose of high-quality applied talent training.
Blended Teaching Mode Based on Rain Classroom in College English
Authors: Hanbin Zhang 
Published: November 2019

Abstract
The purpose of the study is to discuss the process of constructing the blended teaching mode based on Rain Classroom and explore the effects of blended teaching mode based on Rain Classroom on College English teaching. This paper concludes that the main components of the blended teaching mode based on Rain Classroom are pre-class study, during-class interaction, and after-class review and expansion. In addition, the blended teaching mode based on Rain Classroom has significant effect on improving college students’ comprehensive language level.
Analysis on an elevator brake magnetic sleeve
Authors: Ren Facai , Qi Peng , Wu Xinghua 
Published: November 2019

Abstract
An elevator brake failed during use. Failure analysis was performed on magnetic sleeve of the elevator brake. The metallographic microstructure and SEM morphology of the elevator brake magnetic sleeve were investigated based on the optical microscope and scanning electron microscope analysis. The results showed that the entrance of foreign materials caused the extrusion wear to local area of the inner surface of the magnetic sleeve.
The Research controller system of Brushless DC Motor Based on DSP
Authors: Wang XiaoShuang , Zhao Jing , Li Wei 
Published: November 2019

Abstract
Brushless DC motor (BLDCM) is a new type of motor which integrates power semiconductor and permanent magnet materials. In this paper, a sensorless brushless DC motor control system based on DSP and CPLD is proposed. The working principles of the control circuit, power inversion circuit and rotor position identification circuit with the core of TMS320F2812 and MAX7000 (EPM7032) are analyzed in detail.The test results show that the system has the characteristics of strong anti-interference, good robustness, fast starting and high efficiency.
A Method for Fault Diagnosis Based on Multidimensional Scaling (MDS) in Analog Circuits
Authors: Li Bing , Cui Jiebing , He Kaifang , Qian Lixin , He Yigang 
Published: November 2019

Abstract
Considering different fault state of the circuit in the nonlinear analog circuit fault diagnosis, the output response of the circuit varies. A Method for Fault Diagnosis of Nonlinear Analog Circuits on the basis of Multidimensional Scaling (MDS) was put forward according to the variable output response. This method can transform the difference of output response under different fault states into a low-dimensional fitting composition and then distinguish the different fault types. Under the condition of single fault of the circuit, the simulation result proves that the method presented in this paper enjoys high accuracy in effectively classifying the different fault types, locating the faulty components and observing the difference among variable faults intuitively in the low-dimensional coordinate system.
A Novel Fault Location Method for Generator Stator Grounding Considering Armature Reaction
Authors: Han Hangjie , Gao Jun , Zhao Huimian , Yin Xianggen , XU Biao 
Published: November 2019

Abstract
Stator grounding fault is very common to the large generator, and the accurate fault location can greatly reduce the time of corrective maintenance. However, this problem can be very hard since the structure of the winding is very complex. In this paper, a fault location method for large generator stator grounding considering armature reaction is proposed. Firstly, the fundamental potential distribution of the stator winding and the influence of armature reaction on the measured voltage are analyzed, and the mathematical relationship among fault position, fundamental potential, fundamental voltage and grounding resistance is then constructed. On this basis, the process of the fault location can be established. Finally, the accuracy and efficiency of the proposed method are verified by extensive experiments performed on PSCAD/EMTDC.
Theoretical Study of Quasi-Three-Level Frequency Doubling Laser
Authors: Ma Zhaoyu , Li Zhi , Wang Lin , Mu Xiaotong , Shang Baoying 
Published: November 2019

AbstractConsidering the spatial distribution of pumping beam, inverted particle number density, fundamental frequency and photon number density in the cavity of the quasi-three-level frequency-doubled laser, the solution of the rate equation depends on four dimensionless synthetic parameters by normalized correlation parameters. By solving the rate equation numerically, a set of general solutions of the equation are obtained. With these curves and expressions, the design of a quasi-three-level Q-switched intracavity frequency-doubled laser and the prediction of the pulse characteristics could be achieved.
Feature Extraction of Conducted Electromagnetic Noise Based on KPCA and Its Application in Main Network
Authors: Lu Min , Huang Junshuo , Sun Minghui 
Published: November 2019

Abstract
In this paper, a new method for conducting EMI noise source identification is proposed. Firstly, the basic principle of the classical KPCA method is analyzed. Then, the core principal component (KPCA) data is selected, and the input space is transformed into the feature space through nonlinear transformation. This method analyzes the relationship between the time and frequency of the electromagnetic interference signal from the frequency domain, so as to extract the time-domain characteristics of the noise signal, and finally diagnose the characteristics that cause the conduction of excessive signal, and according to the characteristics of the noise signal targeted suppression experiment.
Sensorless control of permanent magnet synchronous motor based on adaptive sliding mode observer and sliding mode gain design
Authors: Yang Rui , Tao Caixia 
Published: November 2019

Abstract
Aiming at the chattering problem in the traditional sliding mode observer of permanent magnet synchronous motor, an improved sliding mode observer is designed. The Kalman observer is designed, the phase-locked loop (PLL) control algorithm is introduced, and the problem of phase delay and precision reduction caused by ordinary filter is solved. The simulation results show that the improved sliding mode observer can accurately estimate the rotation speed and reduce the chattering phenomenon in the process of rotor position estimation.
Experimental Research on Distribution Regularity of Stray Current Along Lanzhou Metro Line 2
Authors: Li Meng , Li Yaning 
Published: November 2019

Abstract
Taking the soil along the Lanzhou Metro Line 2 as the experimental object, soil samples of Lanzhou Jiaotong University Station, West Railway Station and Yanbei Road Station have been collected. According to the different soil types, drainage net laying of buried pipeline depth, soil depth, etc., an experimental research on the regularities of distribution of stray current was carried out. The experimental results show that (1) the stray current can be effectively reduced by the laying of the currents drainage net; (2) the buried pipeline can strengthen the influence on stray current; (3) the stray current will be smaller with the deepening of the soil depth. Thus, a theoretical reference for the formulation of the corrosion protection scheme for the stray current of Lanzhou Rail Transit Line 2 was provided.
Research and analysis of control strategy for dual fuel thermal power unit
Authors: Sun Yongbin , Tang Haoyuan 
Published: November 2019

Abstract
It is mainly introduced that the design type of the M701F heavy dual fuel gas turbine unit, the fuel choice and the transformation, five kinds of control mode and the role of each kind of control mode as unit working. The control model design idea, the logical function, the primary control logic structure diagram is researched and analysised, as well as every control model automatic transformation, which should be widely used.
FPGA-based USB 2.0 data monitoring and acquisition circuit function and simulation design
Authors: Duan Chenhao , Li Binhua 
Published: November 2019

Abstract
This paper builds a system based on FPGA, which is used for USB 2.0 data monitor, simulate and verify system. To build the system, and construction of hardware experimental platforms and logical module programming with HDL are both required. The core of the system is FPGA and ULPI peripherals, which extend two external USB ports for FPGA. By using HDL to package ULPI core, generate data buffer and relays module, and build the connection between ULPI data transceiver. And the function of data monitor and collection will be accomplished. The cooperation simulations by using ISE and ModelSim is using for system analyzation, modification, and verification.
Calculation of Early Warning Indicators for Small Watersheds Based on Mathematical Statistics
Authors: Zhang Shiru , Sang Guoqing 
Published: November 2019

Abstract
The early warning and forecasting of mountain flood disasters is an indispensable part of mountain flood prevention and control work. Reasonable selection of rainfall warning indicators is the key to mountain flood warning and forecasting work. This paper proposes a method for calculating the critical rainfall warning indicator based on mathematical statistics. That is, the characteristic period is determined based on the confluence time and watershed characteristics of the upstream watershed of the disaster prevention object. The stimulated rainfall of each characteristic period and its corresponding antecedent precipitation index is calculated based on the rainfall data of the flooding. Using the regression analysis method to draw the critical rainfall line, calculate the critical rainfall warning indicator and take the typical disaster prevention objects of Chahekou Village in Muping District of Yantai City, Shandong Province as an example, and the historical rainfall records of 2014-2018 were used as verification data to verify the early warning indicators. The results show that the critical rainfall accuracy calculated by this method is about 80%, which can provide reference for the application of early warning indicators for mountain flood disasters.
Research on Water Body Information Extraction and Land Use Status of Nansi Lake Based on high-resolution images
Authors: Zhang Xiaohan , Sang Guoqing 
Published: November 2019

Abstract
The acquisition of surface water information is of great significance to environmental protection and rational development and utilization of water resources. With the rapid development of remote sensing technology, it has many advantages, such as large coverage, fast acquisition of information, short period, large amount of information, etc.It can provide large-scale and multi-dimensional data, which plays an important role in further esearch of Nansi Lake. In this paper, the PMS multi-spectral data of January 2019 was used as the data source, and the land use classification of Nansi Lake based on the eCognition software. Normalized water index extraction (NDWI) was used to extract water body information of Nansi Lake.
Research on Joint Distribution of Rural Logistics
Authors: Song Guangyuan , Zhao Zhiheng , Tian Chu , Yi Yanju , Song Tiantian 
Published: November 2019

Absrtact
With the progress of science and technology and the development of society, the popularity of online shopping has been greatly improved, and it provides a broad space for the circulation and sale of agricultural products, and promotes the development of new countryside in China. Despite the vigorous development of rural e-commerce, it is still in its infancy, and there are many problems such as imperfect logistics distribution system. Among them, the joint distribution mode of terminal logistics is an important factor restricting the development of rural e-commerce. Therefore, we should develop the logistics mode of common warehousing and distribution among logistics enterprises, and promote the integration of rural logistics warehousing and distribution resources through computer simulation of logistics distribution. This paper investigates the situation of rural express delivery, evaluates the performance of rural express terminal distribution by using the method of fuzzy comprehensive evaluation, and constructs a new mode of rural express delivery operation in view of related problems.
Customer churn prediction based on LASSO and Random Forest models
Authors: Zhu Qiannan , Yu Xinyi , Zhao Yuankang , Li Deyi 
Published: November 2019

Abstract
Customer churn probability is influenced by many factors, due to the complexities of actual problems, high-dimensional data often exists multicollinearity, and ordinary regression model is no longer applicable, while Random Forest model without data processing will lead to a large amount of calculation and make the model become not generalizable. So we try to construct a LASSO-RF model based on the existing theories that the Random Forest model was used to predict the variables selected by LASSO model. This paper takes the member data of an airline company as an example to carry out an empirical study. The results show that compared with the LASSO model or Random Forest model alone, the LASSO-RF model constructed in this paper has a smaller amount of calculation, higher prediction accuracy and stronger generalization ability.
Visualization Of Female Public Toilet Information Service Design And Research Based On Queuing And Waiting Psychology
Authors: Yu Jihong , Xu Zijie , Feng Yi 
Published: November 2019

Abstract
In areas of high traffic, it is not uncommon for female public toilets to use queues. Even though the use of female public toilets has improved in recent years, this common dilemma has not been completely solved and optimized. In the context of significant data and the Internet era, through the optimization of female public toilet information prompts that look for ways to alleviate the queuing of female public toilets. From the perspective of users and based on the waiting psychology of queuing, analyzing the psychological and behavioral responses in the queuing process of female toilets, subsequently introducing the theory of visual information and exploring the service design for improving the public toilets for women, optimizing the user experience and effective improving the queuing of female public toilets.
Fast Recognition and Location Method of Parts for Assembly Robot Based on Deep Learning Network
Authors: Yu Yongwei , Zhang Jianheng , Han Xin , Du Liuqing , Li Zhenggen 
Published: November 2019

Abstract
Aiming at the problems of low components recognition rate and poor robustness under complex conditions such as adhesion, stacking and light source interference, a fast recognition and position method of parts based on deep convolution neural network was proposed. A multilayer convolution neural network for real-time detection of parts was constructed. Firstly, multi-scale extraction of candidate regions for target images was carried out. Then,the feature vectors of candidate candidate regions were automatically extracted by convolution neural network. The softmax classifier was used to recognize and locate. The experimental results show that the method realized the recognition and location for multiple parts in complex environment. The accuracy rate is over 95.2%.The detection took only 78ms.The accuracy rate and real-time performance of the method proved its feasibility.
Information Sharing and Application of 3D Design Software in Interior Design
Authors: Xiaowen Qi 
Published: November 2019

Abstract
With the development of computer design software, computer design software with its real and fast characteristics can easily reflect the design concept and design plan. The effect of computer graphics is incomparable with traditional hand-drawing and other graphics techniques. The information exchange among various design software can make the architectural design and interior design more convenient and efficient. It is the development direction of architectural design in the future and the thinking and method of architectural design to apply a variety of software and realize information sharing in interior design.
The working principle analysis and numerical simulation of key equipment in HEMS
Authors: Qi Ping , Cao Limei , Wang Jun , Ribeiro e Sousa Luís 
Published: November 2019

Abstract
The rock temperature in deep coal mine is high, which seriously affects the mine safety production and restraints the exploration of coal resources. The cooling system HEMS (High temperature Exchange Machinery System) was developed using mine water inrush as a cold energy. The system was successfully applied in many coal mines in Xuzhou Mining Group, such as Jia he, San he jian and Zhang shuang lou coal mine. This technology makes good sense in energy conservation and pollution reduction. In this paper, the operation principle and numerical simulation of key equipment in HEMS were presented, which offer the theoretical basis for optimization design. The analysis of operational principle of key equipment was adopted by heat transfer theory and FLUENT was adopted for numerical simulation. After finishing the theoretical analysis, test result was used for proving the correctness of the theoretical analysis.
Research on Accounting Issues of Derivative Financial Instruments under Network Conditions
Authors: Liyuan Wang 
Published: November 2019

Abstract
As a special modern accounting object, after years of continuous research on derivative financial instruments, the accounting community has made significant substantive breakthroughs. It has become the consensus of the major standard-setting bodies that derivative financial instruments should be included in the statement and measured at fair value. With the deepening development of market economy and the advent of the Internet era, China’s derivative financial market has also ushered in a new period of development. Therefore, we should combine network technology to break through the traditional accounting recognition and measurement model, and reflect derivatives accounting information comprehensively and objectively in time.