bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Determination Method of Acceleration Coefficient in Accelerated Reliability Test of Electronic Equipment
Authors: Yang Man , Yi Ming , Luo Gengxing , Huang Yuanmin 
Published: August 2020

Abstract
This paper analyzes the relationship between environmental stress and electronic equipment failure, studies the determination method of stress type, combination mode and stress value in reliability accelerated test of electronic equipment. Under given reliability accelerated test section, the acceleration coefficient calculation method of the reliability of electronic equipment are given, it can realize rapid assessment of highly reliable electronic equipment reliability, significantly reduce test time and test cycles, overcome traditional electronic equipment reliability test time is long, high cost, difficult to quickly evaluate the level of reliability of faults.
Multi-Model Stacking Ensemble Learning for Dropout Prediction in MOOCs
Authors: Zhou Ya , Xu Zhixiang 
Published: August 2020

Abstract
In recent years, with the rapid development of streaming media technology, massive open online courses (MOOC) have attracted unprecedented attention. Compared with the traditional offline teaching mode, the MOOC of online teaching has a higher degree of openness. Users can arbitrarily interrupt the study of a course according to their own interests, and have a higher dropout rate. The existing single machine learning model needs to be improved in terms of prediction accuracy. In this paper, a dropout prediction model based on multi-model stacking ensemble learning (MMSE) is proposed to further improve the accuracy of MOOC dropout prediction. The model mainly includes two parts: data preprocessing and model building. In the data preprocessing part, the student’s log records are used to design data features in weeks. In the model building part, a two-layer ensemble learning model is established. In the first layer, 5-fold cross-validation is used to train five different base classifiers. The second layer uses the XGBoost algorithm to combine the prediction results of the first layer to predict MOOC dropout. The experimental results on the KDDcup2015 real data set show that the MMSE model has achieved better results than the single model.
Research on the Characteristics of Wireless Power Transfer in Non-ferromagnetic Metal Pipe
Authors: Li Changsheng , Liu Yong , Hu Defu , Sun Wei 
Published: August 2020

Abstract
With the development of various electronics, the way of transmitting energy by wire has brought increasingly negative effects on the operability and convenience of products. As wireless power transfer (WPT) technology requires no transmission lines, it has received increasingly wide attention. Most of the previous research on the technology of magnetic resonant coupling WPT mainly focused on the transmission of energy in the air. This paper establishes the wireless power transfer system model under non-ferromagnetic metallic environment and studies the effect of non-ferromagnetic metallic environment on coil self-inductance L, mutual inductance M and coil resistance R of WPT system. On this basis, the study on the relationship between coil diameter and mutual inductance is carried out for aluminium pipe, and the relationship between coil diameter and diameter of metal pipe at the maximum mutual inductance is fitted. Besides, experimental verification is conducted for the change of mutual inductance between the coils of WPT system in the aluminium pipe, presenting that the actual measurement results of mutual inductance in the aluminium pipe are consistent with the theory.
Research on the Accuracy Control Technology of Automated Peritoneal Dialysis
Authors: Ge Shiqiang 
Published: August 2020

Abstract
The automated peritoneal dialysis is accepted increasingly. The automated peritoneal dialysis makes use of a device called automated peritoneal dialysis cycler to realize the automated treatment. The liquid quantity of dialysis treatment is an important index of peritoneal dialysis. Thus the flow calculation accuracy of the automated peritoneal dialysis cycler is one of the most important performances. However, due to the complex usage situations, the cyclers based on different principles are extremely affected by touching, flow resistance fluctuating, etc., which causes inaccuracy and instability. This paper investigated an accurate calculation model and a control algorithm to address these issues. Based on the State Equation of Ideal Gas, a calculation model is established. By analyzing the influence factors of time-varying flow resistance, a control algorithm is designed. A prototype with our method is developed and tested by experiments. The results show that the flow calculation errors are reduced significantly and the accuracy and stability are improved obviously. It proves that our method can realize an accurate flow calculating and effectively reduce errors and keep accuracy stable.
A Ka-band Balanced Feed Antenna with High Selectivity
Authors: Sun Yuanchen 
Published: August 2020

Abstract
In order to obtain a high-selectivity antenna array, a filter antenna based on balanced feed system is investigated in the paper. The balanced feed structure excites the each sub-array with the same phase and amplitude so that the radiation beam is stable steering to normal direction over the entire working bandwidth. Meanwhile, in order to reduce the overall size of the system and improve the selectivity of the antenna array, the filter will be integrated into the input port of the antenna array. The simulated bandwidth of VSWR less than 1.5 is 28.2 GHz∼31.2GHz, and the maximum gain of the antenna is 16.43 dB.
Analysis of Factors Affecting the Accuracy Evaluation of Range Estimation of Pure Electric Vehicles Based on CLTC-P
Authors: Wang Feifei , Dai Tianlu , Zheng Xiaobing , Pan Xiaolong , Lei Ligang 
Published: August 2020

Abstract
The estimation accuracy of the cruising range of electric vehicles is an important performance index of electric vehicles. Improving the accuracy of cruising range estimation is of great significance for improving the user acceptance of electric vehicles. This paper carried out vehicle tests under normal temperature environment based on China light-duty vehicle test cycle for passenger car (CLTC-P) under different battery state of charge and long-distance constant-speed driving, and use the determination coefficient to analyze and evaluate the accuracy of the metered range mileage. At the same time the paper deeply study the impact of different data collection frequencies and the vehicle’s metered range self-learning mode on the accuracy of the range mileage. This study provides theoretical support for the use of certain coefficients to study the accuracy of the estimated range of pure electric vehicles under unified scenarios and specific working conditions, and to establish a test and evaluation method for the accuracy of range of electric vehicles
Research on Development and Application of Mechanical Engineering Based on CNC Machining Technology
Authors: Zeng Hao 
Published: August 2020

Abstract
The machinery industry is an important foundation for the development of a country. It is very important and necessary to do a good job in the development of the machinery industry. In the new era, with the development and application of information technology and automation technology, it has provided a powerful boost for the development of modern machinery industry. By applying information technology and automatic control technology to the machinery industry, the technology to improve the information and automation level of the machinery industry is called CNC technology. Based on the analysis of the characteristics of CNC technology, the article analyzes and introduces the important influence it brings to the machining technology, and prospects the future development and intelligent trend of CNC technology.
Defect detection of automotive injector valve seat based on feature fusion
Authors: Zhu Zonghong , Li Chungui 
Published: August 2020

Abstract
Automobile fuel injector seat is a device that injects gasoline into the automobile cylinder. It plays a very important role in the control of automobile fuel quantity. However, due to the small parts and susceptibility to processing technology, in the production process of automobile fuel injector seats, it is inevitable to leave scratches, defects, rust spots, white spots and other defects. This paper will use the depth detection technology to complete the flaw detection of the injector seat, the depth detection algorithm model Faster R-CNN is improved. Defect detection can be seen that when extracting features, the Faster R-CNN algorithm model only uses the features of the last layer of convolution output, and has a large loss and affects the effect of small target detection. In order to improve the detection ability and solve the problem of missing detection caused by multi-scale and small targets, we introduce the idea of multi feature fusion in the stage of feature network extraction, and compares the improved algorithm model with the original Faster R-CNN model on the data set of injector seat. It is found that the improved model can be better applied to the flaw detection of automobile injector seats.
Short-term wind power prediction based on nutrosophic clustering and GA-ELM
Authors: Ye Zijun , Ding Yunfei 
Published: August 2020

Abstract
Wind farm NWP data has regularity and difference, and making full use of the information contained in NWP data is the key to wind power prediction. A short-term forecasting method for wind power based on nutrosophic clustering and GA-ELM is proposed. Firstly, the wind farm NWP data is divided into several weather types by the Chinese wisdom clustering method, and then the GA-ELM model is established for different weather types. The Gaussian index method is used to classify the forecast data, and then the different types of forecast data are substituted into the corresponding model predictions. Taking a 14MW wind farm in Northeast China as an example, the experiment shows that the nutrosophic clustering method reduces the influence of boundary points and abnormal points on the clustering center. Compared with the traditional method, the method has higher precision and universality.
Design and analysis of intelligent retrieval system for drilling data and completion data based on cloud platform
Authors: Zhao Yifan , Wang Kuisheng , Chen Lianguo 
Published: August 2020

Abstract
In the context of the accelerating cloud platform construction in the oil industry, this paper solves the problem of difficulty in drilling and completion data retrieval by classifying and sorting drilling data and completion data to construct an intelligent retrieval model for drilling and completion data. Based on the cloud platform environment, this paper studies the method of constructing an retrieval system for drilling data and completion data through the microservice architecture. This system provides a unified retrieve page for structured data and unstructured data of drilling and completion operations. By using the ElasticSearch full-text search engine to build a retrieval model, it provides users with fast, efficient, and convenient comprehensive query and retrieval services, and lays a foundation for the intelligent construction of drilling and completion platforms.
Application Analysis of Computer Effect Drawing in Landscape Design
Authors: Xie Xuan 
Published: August 2020

Abstract
With the progress of modern science and technology, computers are gradually applied to various fields, greatly improving the efficiency of work, in which the effect drawing of landscape design is an example. In the design of landscape effect drawing, the designer makes a simple conception plan of the design drawing by observing the entity project, and then uses the computer to draw his own ideal effect drawing. Such landscape effect drawing integrates the designer’s design soul, not only let the expert understand deeply, but also make the layman have a good understanding. Therefore, this paper first describes the definition and function of computer effect drawing in landscape design, then analyzes the common software for drawing computer effect drawing in landscape design from four aspects, and finally expounds the four steps of drawing computer effect drawing in landscape design.
Wavelet Adaptive Control for Robotic Manipulator With Input Deadzone
Authors: Sun Yongfu , Zhao Dequan , Wang Yuchao 
Published: August 2020

Abstract
In this paper, the adaptive wavelet neural network (WNN) tracking control problem is investigated for robotic manipulator with input deadzone. The WNN is used to approximate the unknown nonlinear function and the derivative of virtual control in the system, which avoids the problem “explosion of complexity” in the traditional backsteppinng control methods, the requirement of input instruction signal is reduced. The robust term is designed to compensate the approximation errors of WNN and external disturbance. Since wavelet functions are used in WNN, its learning capability is precede to the traditional neural network for system identification. It is proved that the proposed controller can guarantee that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results demonstrate the effectiveness of the proposed approach.
Study on Fast Response of Semiconductor Laser Driven by Impulse Current
Authors: Qing Shi , Gentai Shi , Tao Zhang , Zhongmin Xing 
Published: August 2020

Abstract
A simulation model based on single-mode rate equations of semiconductor laser and its typical parameters shows that, the photon stimulated emission rate at the early turn-on time of the semiconductor laser is increased with the increase of the injection current, and the corresponding rise time is reduced with the increase of injection current. However, for an output power is fixed semiconductor laser, increasing the injection current to reduce the rise time of the transmitted pulse leads to increase in temperature of semiconductor laser. We show that adding an impulse current in the front of the normal luminous pulse current can reduce the rise time of the transmitted pulse and ensure the stable output of the semiconductor laser. This method is verified by simulation and an experiment using PLTB450B semiconductor laser. The simulation and test results show that for an output power is fixed semiconductor laser, the rise time of the transmitted pulse can be reduced significantly by adding impulse current.
Design of Intelligent Levelling Control System for Grader
Authors: Xiong Z G , Liu Z , Wang H Y 
Published: August 2020

Abstract
For the problem of grader intelligent levelling control system with much uncertainty and serious nonlinearity, precise mathematical model based traditional Proportional Integral-Derivative (PID) controller cannot meet the requirements of angle control. In order to improve dynamic performances of grader intelligent levelling control system in the laser transmitter platform of laser sources positioning system based on dynamic triangle principle, the obliquity sensor to detect the angle of laser transmit platform, and angle sensor data processed based on the data fusion algorithm through federal Kalman fusion, which is compared with Kalman algorithm. And the Radial Basis Function (RBF) Neural Networks based PID control strategy is proposed for the grader level control in this paper. This method can identify the mathematical model of the grader levelling angle via the RBF neural networks, and then the PID parameters can be optimized automatically to accommodate the characteristic variation of the process. The simulation results show that the PID controller designed based on the RBF neural networks has good control performance on the steam generator level control.
EMC improvement of CAN bus in automotive bus
Authors: Huan LI , Qinzhu Wang 
Published: August 2020

Abstract
With the increase in the car above the electronic products, automotive interior complex and a wide range of electrical systems will produce all kinds of magnetic field, from the cause of EMC problems, from the perspective of traffic safety considerations, with the increase of automotive electronic components and lead to an increase in the complexity of the system, in order to eliminate all kinds of such electromagnetic fields, it will increase the cost of all kinds of unnecessary. The content of this paper is to improve the electromagnetic compatibility and working stability of the CAN bus in the automotive network system by improving the design of the system and routing rules.
Parasitic Effects Analysis of Bonding Wires Bonding Parameter of Intelligent Power Modules for Three-Phase Motor Control Applications
Authors: Wang Chunxing , Zheng Jiaxing , Wang Gongtang , Gao Wen , Hua Qing 
Published: August 2020

Abstract
Parasitic parameter analysis is the focus of intelligent power module switch performance research. This paper will utilize the model of 600V/30A intelligent power module and extract the part of circuit layout bonding wires parasitic parameter by Ansys Q3D Extractor, expedition the relationship between physical bonding parameter and parasitic parameter in the intelligent power module circuit. An exact three-phase circuit module of high voltage intelligent power module and bonding wires package module is established. Through Ansys Q3D Extractor, test a series of bonding parameters from the three-phase circuit layout module and extract the parasitic parameters of the bonding wires. The experimental results of the parasitic parameters are analysed and compared, and the influence degree of the bonding parameters on the parasitic parameters is discussed. An improved solution is proposed for the bonding wires of the intelligent power module to reduce the voltage spike that the MOSFET chip during the turn-off process.
A 5-13GHz Power Amplifier for UWB Applications in 40 nm CMOS Technology
Authors: Zhu Jie , Liu Zhangfa 
Published: August 2020

Abstract
A two-stage power amplifier using current multiplexing technology and resistor shunt feedback technology to flatten gain and expand bandwidth is designed in this paper. In this paper, the SMIC 40nm CMOS process is used. The power amplifier proposed works in the 5-13GHz frequency range, providing more than 10dB of the gain at the voltage of 1.0V, and has good input and output matching. The return loss is lower than -30dB. The stability factor Kf is maintained at about 1.1, and Bf is greater than 0. The peak power added efficiency of the power amplifier can reach 24%.
Differential filtering algorithm for robot welding seam image enhancement
Authors: Liu Ying , Huang Qingjiu , Sato Kentaro 
Published: August 2020

Abstract
The low resolution of the welding seam recognition image during robot welding will affect the welding accuracy, and the cost of high-resolution cameras is higher. Therefore, in this paper, the geometrical processing of the bilinear interpolation method for the welded seam pictures taken by the low-resolution camera was used to obtain a high-resolution image. This paper proposed a differential filtering algorithm based on Gaussian filtering and bilateral filtering, to eliminate the fine lines, noise and enhance the weld feature value for the obtained high-resolution image, thereby ensuring the welding accuracy. Finally, through the image processing experiment of increasing the 1.25 million pixel weld image to 5 million pixel weld accuracy, the effectiveness of the image enhancement method proposed in this paper was proved.
Speech Synthesis of Children’s Reading Based on CycleGAN Model
Authors: Jia Ning , Zheng Chunjun , Sun Wei 
Published: August 2020

Abstract
The generation of emotional speech is a challenging and widely applied research topic in the field of speech processing. Because the design method of effective speech feature expression and generation model directly affects the accuracy of emotional speech generation, it is difficult to find a general solution of emotional speech synthesis. In this paper, the CycleGAN model is used as the starting point, and the improved convolution neural network (CNN) model and identity mapping loss scheme are used to achieve effective timing information capture. At the same time, we learn the positive mapping and the reverse mapping to find the best matching design scheme, and retain the speech information in this process, without relying on other audio data. Experiments show that the emotional speech can be accurately recognized by comparing the speech emotion before and after the improvement on the speech corpus of children’s reading. By comparing with the common emotional speech generation model, the advantages of the model proposed in this paper are verified.
A precision pose measurement technique based on multi-cooperative logo
Authors: Guo JianPo , Wu PeiZhang , Wang WeiRu 
Published: August 2020

Abstract
The use of image recognition technology to complete the precise pose measurement of objects has always been a difficulty in the field of computer vision. This paper proposes a precision pose measurement technology based on multi-cooperation logo, which uses OpenCV and Aruco to complete the generation of cooperative logo. Through the uPnP algorithm to complete the relative pose detection of the camera and the cooperation logo, and then the precise pose measurement of the multi-cooperation sign is completed by Gaussian filtering and iteration of the nearest neighbor. Compared with the traditional positioning method, it has higher accuracy and robustness. This technology has important reference value in robot positioning.
Study on foundation selection and economy of 220kV four circuit narrow base steel tube tower
Authors: Yaning Ren , Lihuan Wang , Yantao Xie 
Published: August 2020

Abstract
Through the practice of a certain urban line project in Hebei Province, the common forms of steel tube tower foundation with narrow base are introduced, and make a comparison from the basic form, technical economy and other aspects, and recommend the foundation form suitable for the corresponding situation. It is expected to be a reference for the foundation design of steel tube tower with narrow foundation.
Research on JOB SHOP Scheduling Problem
Authors: Yongsuo Zi , Caimeng Zhang , Yinsheng Hong , Pengrui Qiu , Wangjiao Shu 
Published: August 2020

Abstract
Aiming at the dynamic job shop scheduling problem with extended process constraints, this paper constructs a mathematical model of job shop scheduling problem with the objective of minimizing the maximum completion time. Genetic algorithm is used to solve the minimum maximum completion time, and the results are compared with those obtained by WSPT, EDD, FCFS, LPT and Cr. Through computer simulation, it is verified that the minimum maximum completion time obtained by genetic algorithm is better than that by SPT, EDD, FCFS, LPT and Cr.
Mixed LFM Signal Estimation Based on Radon-Wigner Transform and Matching Pursuit
Authors: Wang Dong , Tang Hong 
Published: August 2020

Abstract
Parameter estimation of mixed signals is a key problem in electronic reconnaissance. Based on Radon-Wigner transform (RWT) and Matching Pursuit (MP) algorithm, a parameter estimation method for mixed LFM signals is proposed in this paper. The core of the method is to separate signal components from the mixed signal and estimate their parameters one by one. Firstly, a rough parameter estimation of the strongest signal is obtained by RWT. After that an optimized estimation based on MP algorithm is performed to fine-tune the estimation result. Then, the strongest signal component is reconstructed with the optimized estimation, and it is separated from the mixed signal. Therefore, by iteratively estimating and separating the stronger signal within the residual mixed signal, all of the signal components can be precisely estimated. Experimental results show that the proposed method is able to achieve satisfactory performance on a lower signal-to-noise ratio.