bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Intelligent Assistant System for Billiards Hit Training
Authors: Zhang Zerui , Zhang Wenhao , Chen Weizheng 
Published: March 2021

Abstract
Image processing technology has increasing important applications in sports in recent years, such as result prediction, technical analysis, and foul determination. For most billiards beginners, how to hit the billiard ball into the ball belt is not a simple matter. In order to assist the beginners in billiards training, this article proposes an assisted hitting system. The system is divided into three parts: bag detection, billiard detection, and hitting suggestions. In the ball belt detection, double-peak histogram threshold segmentation, edge detection and Hough transform are used to detect the edge line, and then the ball belt position is detected. In billiard ball detection, the normalized RGB method is used to extract the foreground, the Hough transform circle detection method is used to detect the center and radius of the sphere, and the neural network is used to determine the white ball. In the shot suggestion, the force and angle of the shot are given by the dynamic formula, and the path simulation of the ball in the background is given. Experiments show that the recognition method is effective and the path simulation is consistent with reality, which can assist beginners in the training of billiards to a large extent.
The Calculation of Electric Field Caused by Distributed Charge
Authors: Li Jinxi , Wu Wei , Cheng Yinhui , Wang Yixiong , Chen Peng 
Published: March 2021

Abstract
The potential and electric field responses in cylinder cavity with ceramics slice caused by distributed charge in X-ray environment were simulated with finite difference method. The numerical results indicate that the distributed charge in ceramics’ middle section is negative or positive, and positive of both sides. For the photon energies from 30 keV to 1 MeV with same fluence, distributed charge and electric field were decreased at first and then increased. Electrode has great effect to the potential and electric field responses. For different plating thickness, there exists minimum to the electric field amplitude, and for the plating, there exist optimal diameter and thickness. Distributed charge is calculated using Monte-Carlo particle transport code.
The Current State and Development Tendency of the FWD Metrology Technology
Authors: Miao Na , Chen Lei , Peng Lu , You Chunmei , Wang Yixu 
Published: March 2021

Abstract
As the “Outline for Building a Leading Transportation Nation” puts forward, the overall requirement of high quality development, the measurement work of transportation industry plays a much more important role. This paper introduces the measurement technology state of the FWD of the highway pavement bearing capacity measuring equipment, the technical state and error analysis of the equipment are introduced, and the calibration and comparison methods are sorted out, which provide a reference for the next generation of the equipment.
Improved Gray Wolf Algorithm Based On Dynamic Inertia Weight and Adaptive Search
Authors: Cai Pengchen , Zhang Damin 
Published: March 2021

Abstract
An improved ISAGWO algorithm is proposed to solve the problem that the traditional grey Wolf algorithm is easy to fall into local optimum, which leads to low search accuracy. By introducing the weight factor before the vector coefficient, the position vector updating formula and the adaptive search strategy of the dynamic modulation algorithm, the search accuracy of the algorithm and the ability of jumping out of the local optimum are improved. The efficiency of the improved grey Wolf algorithm is evaluated by statistical analysis, convergence rate analysis and classical reference function. The results show that the improved grey Wolf algorithm has better global search ability and solution robustness, and the optimization precision and convergence speed are also improved compared with the standard grey Wolf algorithm.
Analysis on the Allocation Optimization of Airport Baggage Turntable
Authors: Yan Jianying , Shi Lina 
Published: March 2021

Abstract
The rapid growth of my country’s civil aviation passenger traffic has led to increasingly tight operating resources in the terminal. In order to optimize the operating efficiency of the baggage turntable for arriving passengers, the simulated annealing algorithm is used in the baggage claim carousel allocation. According to the set objective function model, the simulated annealing algorithm solution process is designed and the solution process is simulated. According to the comparison between the obtained results and the results of the first-come-first-served distribution method, it is shown that the simulated annealing algorithm has a better result than the first-come, first-served distribution method and meets the target requirements. It provides a way to alleviate the airport baggage claim carousel allocation problem and a feasible way to use efficiency.
A Method for Multi-objective Optimization and Application in Automobile Impact
Authors: Yang Guang , Cao Yong , Tao Haiyan 
Published: March 2021

Abstract
A method is proposed for constrained multi-objective optimization problems, which is based on Newton method and the linear weighted sum method. The automobile impact problem is studied in this paper. The multi-objective optimization model of the impact problem would be established. Then, an improved design of front rail is obtained by the algorithm proposed.
Machine learning based intelligent posture design of driver
Authors: Gou Junjie , Chuan Jianbing , Wang Hongyan , Gao Yang 
Published: March 2021

Abstract
The automatic adjustment of the driving posture can effectively help improve the driver’s experience, and thus it is one of the important reference indicators for the design of the vehicles. This paper focuses on the intelligent adaptive driving posture using the machine learning (ML). Firstly, laser scanning was used to obtain the point cloud data of the most sold vehicles in the market. Then, the driving posture’s key parameters were screened and extracted through the big data processing method. Finally, the deep learning neural network (DNN) was applied to establish a supervised learning model to figure out the intelligent adjustment of driving posture for different vehicles. Numerical results can demonstrate the accuracy and effectiveness of the proposed method by comparing it with the actual driving experiments. The results show that the accuracy of the research is good and can provide a reference for the design of intelligent driving.
A harmonic injection method for improving NVH performance of permanent magnet synchronous motor
Authors: Zhang Nian , Sun Chao , Liu Jing , Xiong Fei 
Published: March 2021

Abstract
A harmonic injection method is proposed for reduce permanent magnet synchronous motor torque ripple and noise, which is based on harmonic model of PMSM. The effectiveness of the method is verified by simulation and experiment. It is proved that this method can significantly improve NVH performance of the motor.
Research and Design of Household Intelligent Mechanical Claw
Authors: Chen Yihao , Cheng Ziye , Li Yuqi 
Published: March 2021

Abstract
In order to design a kind of intelligent mechanical claw for home and office scene. Based on the investigation, analysis and arrangement of the features of items in the family and the functional demands of the family on the mechanical claw, a design scheme of intelligent mechanical claw which can switch functions and grasping modes according to the different grasping objects is proposed. Mechanical structure design, including mechanism motion design, part structure design, and use Autodesk Inventor software for mechanical parts, component design and simulation assembly; The stress analysis module in Autodesk Inventor was used to simulate the key components. Finally, the design scheme of mechanical structure and control system for the mechanical claw are proposed.
Research on Data Asset Management System of Graph Database Based on Internet of Things
Authors: Gao Lingchao , Yang Qifan , Zou Baoping , Liu Qing , Wang Chuanjiang 
Published: March 2021

Abstract
With the development of the times and the progress of society, the popularization rate of computer network technology and information technology in China is accelerating, and the Internet of things technology also appears in people’s vision, and is gradually known by people. In the context of this era of big data, it has brought great challenges to all walks of life. The development of everything must conform to the development theme of the times. In order to meet the challenge of the research and development of the data asset management system of the graph database in the new era, this paper puts forward the method of applying the Internet of things technology to the research and development of the data asset management system of the graph database. Combining with the foreign research and development plans of the data asset management system of the graph database, the data resources of the graph database are carried out from the platform system, the management structure and the organization arrangement Based on the research and analysis of production management system, a research scheme of data asset management system of graph database which can meet the development requirements of the new era is worked out. Through long-term research and analysis, we can find that the Internet of things technology analysis method proposed in this paper can effectively provide new development ideas for the research and development of data asset management system based on graph database under the Internet of things technology.
Research and Analysis on Evaluation Methods of Electrical Performance of Smart Energy Meters
Authors: Sheng Qing , Huang Liang , Wang Xingang , Jiang Jianfeng , Li Peng , Zhang Jingang , Qu Shiqing 
Published: March 2021

Abstract
Based on the technical specifications of smart meters, the electrical performance evaluation methods of single-phase smart meters are studied, and the accuracy, stability and safety of smart meters are analyzed and studied through specific data verification. Analysis the basic characteristics of the electrical performance of the smart energy meter, and evaluate the electrical performance based on the basic characteristics. Collect the specific working characteristic data of the intelligent electric energy meter, accurately measure the parameters of the intelligent electric energy meter, and analysis the electrical performance. Analysis the influence of the harmonic components of the power system on the measurement of the electric energy meter, study the power consumption of the smart electric energy meter, and the accuracy and stability of the operation.
Failure Analysis on Cracked Cr8Mo2SiV Mold Parts
Authors: Qiu Huaxing , Wu Zhenghuan , Gu Liwen , Cai Yujun , Li Xiaohui , Huang Lifeng 
Published: March 2021

Abstract
Cr8Mo2SiV cold work die parts cracked early during machining process. In order to find out the reason of cracking failure of the die parts, the macro crack analysis, chemical composition analysis, hardness test and microstructure analysis of the parts were carried out by stereo microscope, direct reading spectrometer, digital Vickers hardness tester, metallographic microscope and scanning electron microscope. Some results are obtained: the chemical composition of cracked parts was tested and found similar to Cr8Mo2SiV, compared with standard Cr8Mo2SiV, it contains 3.81%W, and its hardness is 229 HV1, means that the cracked parts are not hardened. By observing the micro morphology of the crack, there are oxide and decarburization layer on the crack surface of the parts. It proves that the crack was formed before spheroidizing annealing. It is a typical raw material crack.
Design and Implementation of Multi-core Parallel Compiler Based on OpenMP
Authors: Liu Xiaojian , Lv Hao , Liu Shuo 
Published: March 2021

Abstract
OpenMP supports parallel incremental development, and has become a mainstream parallel programming standard for shared memory systems. A parallel compiler running on multi-core DSP is designed for OpenMP programs. The main achievement includes translator and runtime. The translator converts OpenMP instructions in source files into function calls in runtime where the specific implementation is provided. The core problem of parallel compiler is how to design parallel strategy to allocate computing tasks to each core, which corresponds to the concept of parallel domain in OpenMP standard. The compiler realizes the of master-slave core by transforming parallel instructions and supporting runtime, which has guiding significance for the design of parallel compiler.
A Creative Research on Interactive English Teaching Based on Computer Aid
Authors: Chen Jintian 
Published: March 2021

Abstract
With the rapid development of digital technology, the advantages of the multiple interactive teaching model of college English have become increasingly prominent. The multiple interactive teaching model of college English focuses on teacher-student interaction, student-student interaction, student-teaching material interaction, and human-computer interaction. The research analyzes the characteristics of the multiple interactive teaching mode compared with the traditional teaching mode, and also points out some of the problems and challenges it faces, and compares the experimental class with the control class in specific teaching practices, and draws the conclusion: The multi-interactive English teaching mode is conducive to improving students’ English learning performance, and is a practical and effective teaching mode. At the same time, the thesis briefly introduces the creation of Web-based interactive teaching system, and according to the characteristics of Web network teaching, expounds the selection of the system architecture and methods to improve the security and stability of the Web network teaching system.
Research on the influence of social network on risk control of New Ventures
Authors: Xiong Chan , Xue Yanan , Zhou Ruyi 
Published: March 2021

Abstract
We have witnessed many firms use social network to facilitate their business transactions. In this study we discuss the impact of social network on new ventures’ risk control. We test our hypotheses with survey data collected from 3149 from a questionnaire survey about private businesses in China. Our results show that social network is the protective umbrella to prevent risk during their growth.
Face Detection Algorithm Based on Deep Residual Network
Authors: Tao Shifan , Li Yufeng , Huang Yufeng , Lan Xiaoyu 
Published: March 2021

Abstract
With the rapid development of artificial intelligence, face detection technology is widely used in our daily lives, such as mobile payment, video conferencing and personal identification. However, face the scenario while the face been blocking or crowding, the face detection accuracy would be greatly reduced. Therefore, in this paper, a high-precision face detection algorithm based on deep residual network has been proposed to solve this issue. Firstly, adding neural framework branches based on the Resnet-50 to improve the detection accuracy. Then import the soft-NMS method to enhance the robustness of algorithm. Experimental test on the public data set FDDB, the results indicate that the accuracy of this algorithm can reach 94.2% with good robustness, both accuracy and speed are better than the previous algorithm.
A Robust Space-time Adaptive Processing Algorithm based on Particle Swarm Optimization for Non-stationary Clutter Suppression
Authors: Wang Hanchao , Fang Lili , Zhang Chuanfang 
Published: March 2021

Abstract
A novel robust sparse recovery (SR) space-time adaptive processing (STAP) algorithm based on particle swarm optimization (PSO) for non-stationary clutter suppression is presented in this paper. A cost function for PSO in the presence of parameter errors is theoretically derived. An improved estimation process of clutter spectrum based on this cost function which is called PSO-SR is proposed and analyzed. A more accurate estimation result of clutter spectrum could be provided by this algorithm than the previous proposed algorithms in the presence of considerable parameter errors. Simulation results demonstrate the robust performance of this algorithm.
Research on Temperature Prediction Model in Greenhouse Based on Improved SVR
Authors: Fan Linan , Ji Yandong , Wu Gang 
Published: March 2021

Abstract
The greenhouse is a multivariate, nonlinear, time-varying and time-lag system. The establishment of an accurate greenhouse temperature prediction model can effectively ensure the effectiveness of intelligent temperature control. In order to solve the problem of difficulty in modeling the temperature mechanism of greenhouses, this paper proposes a method based on improved Support Vector Regression to establish greenhouse temperature prediction, The PSO algorithm is used to optimize the hyper-parameters of the SVR. Using real greenhouse data to verify the effectiveness of the proposed model. Experimental results show that compared with the traditional BP neural network prediction model, the temperature prediction model in greenhouse based on improved SVR has significantly improved prediction accuracy and better prediction capabilities. Therefore, the greenhouse temperature prediction model based on improved SVR proposed in this paper can well characterize the actual greenhouse system.
Simulation analysis and actual verification of stable direct route motion of an underwater vehicle streamer system
Authors: Li Huarong , Zhuang Rui , Yang Chong 
Published: March 2021

Abstract
Based on the model of Ablow and Schechter, the equation of stable direct route motion of the streamer system of underwater vehicle is established. The simulation calculation program of stable direct route motion of the streamer system is compiled according to the equation. Under the condition of setting the kinematics and dynamics boundary of the streamer, the stable array of the streamer system is simulated numerically. The influence of the key parameters such as the speed of towing point, the density of streamer and the diameter of streamer on the stable direct route motion array and tension of the streamer system is discussed. On this basis, combined with the full-scale model of the streamer system, the actual towing test on the lake is carried out. The test results show that the results obtained by the simulation method in this paper are consistent with the actual array obtained by the actual motion test, and can effectively evaluate the array attitude and node hydrodynamic characteristics of the streamer system.
Research on EMC Simulation Method of Conducted Emissions Current Probe Method for Electric Vehicle Battery Pack
Authors: Cai Xuedan , Xiong Fei , Li Jianqun , Zhu Linpei , Wang Manli , Liu Zhaojiang 
Published: March 2021

Abstract
The electric vehicle generates more serious electromagnetic interference than the traditional cars. As one of the core components, the battery pack affect the vehicle’s electronic equipment seriously and it is susceptible to interference from high-voltage components Simultaneously. This chapter mainly studies the conducted emissions of battery packs. By establishing of the equivalent circuit model of the conducted emissions current probe method for the battery pack, and analysing according to the test conditions, and finally comparing with the test results to verify the accuracy and effectiveness of the method.
Research on Application of Finite Element Method in Static Analysis
Authors: Li Rao 
Published: March 2021

Abstract
The finite element method (FEM) is a numerical calculation method for solving the approximate solution of the boundary value problem of partial differential equations. Because of its simple principle and strong problem-solving ability, finite element analysis has been widely used in the fields of mechanics, electromagnetics, and heat conduction. The advantages are obvious when dealing with complex nonlinear boundary conditions. This article is based on the basic theory of elasticity and combined with the finite element method to design a statics simulation system. The calculation results are based on ANSYS.
Text Classification by using Natural Language Processing
Authors: Yu Peiyang , Cui Victor Y. , Guan Jiaxin 
Published: March 2021

AbstractThe spread of Fake news on the Internet misleads people to have false understandings and recognitions of certain events and make ill-advised decisions. This widespread can post a significant threat to modern society politically, economically, and ethnically. In this paper, multiple methods and approaches are mainly discussed for text-data preprocessing, implement different word-vector algorithms. Finally, two datasets are chosen to compare four of the most popular Natural Language Processing (NLP) models to help people distinguish the authenticity of the news.
Studies on image recognition based on VAE and AAE
Authors: Zhou Haobin , Li Bin , Zhou Qinglei 
Published: March 2021

Abstract
Image recognition is applied to all aspects of life, such as brush face authentication and defect detection. Traditional convolutional neural network trains network through a large number of data sets. However, in practice, it takes a lot of time and effort to collect training data. In the case of less training data and larger verification data set, the accuracy is relatively low. Therefore, this paper proposes two methods this method can improve the accuracy and loss function fluctuation of the case with less training data and more verification sets. The lenet5 convolutional network structure is used as the main body to form a new convolutional neural network by combining variational self coding and counter self coding. The experimental results show that in the cifar-10 data set and cifar-100 data set, the combination of variational self coding and combined counter self coding can increase by up to 4 percentage points compared with the traditional convolutional neural network, which is effective in the case of insufficient training data.
Simulation Research on Lightning Protection Effect of Distribution Line Lightning Protection Measures
Authors: Luo Simin , Luan Le , Cui Yiping , Xu Shuo , Guo Quinten , Liu Tian 
Published: March 2021

Abstract
Due to the low insulation level of distribution lines, the electromagnetic transient characteristics of lightning strikes are quite different from those of high-voltage transmission lines; the lightning protection measures used in high-voltage lines cannot be well applied to distribution lines. In order to further understand the various lightning protection measures and the effect of lightning protection measures on the improvement of the lightning resistance level of distribution lines, this paper evaluates the working principles, characteristics, lightning protection effects and existing deficiencies of various lightning protection measures used in distribution lines And using ATP-EMTP software to analyze several kinds of lightning protection measures commonly used in 10kV distribution lines, it has certain reference value for the selection of lightning protection measures of 10kV distribution lines.