bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Oxygen Reduction Method of Phosphorus-doped Hydrogenated Nano-silicon
Authors: Liu Danjuan , He Wei 
Published: May 2021

Abstract
In recent years, hydrogenated nano-silicon has attracted much attention due to its high specific energy density. However, the slow kinetic oxygen reduction reaction (ORR) and oxygen evolution reaction (ORE) reduce the efficiency of hydrogenation of nano-silicon and hinder its practical application. The development of non-precious catalysts with excellent performance and low price is of great significance to the development of hydrogenated nano-silicon. Among many hydrogenation nano-silicon catalysts, cobalt-based compounds have good ORR and ORE catalytic performance, and are rich in Co reserves and low in price. Especially doped compounds have excellent stability. In the thesis, three series of hydrogenated nano-silicon composite materials of Co-SrCO3/NC, Co-Nd/NC and Co-Ce/NC were successfully synthesized through heating reflow method and subsequent high-temperature calcination. XRD, Raman, XPS, TEM, nitrogen isothermal adsorption and desorption and other analytical methods were used to characterize the structure of the above composite materials. Through chemical tests, the composite materials were evaluated for the catalytic performance of ORR and ERR, and their structure-activity relationship was analyzed. The Co_SrC03/NC series composite materials were calcined at different temperatures. The results showed that the generated SrCO3 nanorods were embedded in the graphite shell and contacted with hydrogenated nano-silicon. In an oxygen-saturated 0.1MKOH solution, Co-SrCO3/NC series composites have excellent ORR/ORE catalytic activity, especially Co-SrCO3/NC-600 has more stable activity than precious metal catalysts of 20wt% Pt/C and Ir02. Sex. The air prepared with Co-SrCO3/NC-600 has better performance. During the in-depth study of 10mA_cnT2, Co-SrC03/NC-600 was used as the air to maintain a stable platform of 1.10V, and the platform of 20wt%Pt/C under the same conditions was 1.17V.
UWB localization algorithm based on BP neural network compensation extended Kalman filter
Authors: Kun Jin 
Published: May 2021

Abstract
When UWB technology is applied to indoor positioning, there will be a lot of noise interfering with its positioning accuracy. In order to improve the positioning accuracy, the improved extended incremental Kalman filtering algorithm and BP neural network algorithm are proposed to eliminate the positioning errors. In this paper, the extended incremental Kalman filter algorithm is first used to denoise the distance measured by UWB to reduce the errors caused by environment, equipment and other factors, then the classical Chan positioning algorithm is used to get the positioning results of tags, and finally the BP neural network algorithm is used to compensate the positioning results.
Failure Analysis of Stainless Steel EH Tubing Used in Power Plant
Authors: Yang Chao , Li Xiuneng , Wang Yunan , Hou Shuang , Sun Mingcheng 
Published: May 2021

Abstract
The EH fuel pipe of stainless steel used in a power plant was cracked. The crack and leakage of stainless steel fuel pipe were detected and analyzed by alloy composition analysis, EDS, microhardness and metallographic structure. Results show that the alloy components conform to the requirements of the standard stainless steel EH fuel pipe’s microstructure is normal, but EDS results show that Cl and S ions were detected in the crack aperture. The microhardness test found that the closer the hardness value is to the crack, the lower it is. Combined with the operating environment of EH tubing, the main reason for tubing cracking is that it absorbs moisture in the air and free Cl ions in a humid working environment, forming a corrosive medium. Under the action of working pressure and residual stress, stress corrosion cracking that expands from outside to inside occurs.
Prediction of the Number of Pure Electric Vehicles Based on the Extended GM(1,1) Model
Authors: Song Xuyang , Wang Yulu 
Published: May 2021

Abstract
The gray system theory is used to study the changes in the number of pure electric vehicles nationwide. According to the data on the number of pure electric vehicles in the country from 2016 to 2020, the original time series prediction model is established based on the GM(1,1) model. Using MATLAB to establish the original GM(1,1), new information GM(1,1) and metabolic GM(1,1), and compare them, and select the metabolic GM(1,1) with the smallest sum of squared errors for model performance Inspection and error analysis showed that the degree of fit was up to standard, and the predicted results were obtained. The prediction results show that the number of pure electric vehicles in my country will increase year by year from 2021 to 2023, and the number of pure electric vehicles in my country will exceed 10 million by the end of 2023.
Wheel Hub Automatic Production System Based on Industrial Robots
Authors: Zhang Bin , Lu Zongxue , Wang Qiang , Cui Shiyi , Jia Guangxin , Yang Jun 
Published: May 2021

Abstract
In this thesis, a control system for a wheel hub machining line based on a Fanuc robot, which includes adopting Siemens 300PLC as the main control unit, performing wheel circumferential positioning and center correction based on vision technology, and controlling the machine tool to perform real-time tool compensation based on the measured data, is researched and designed to achieve fully automatic unmanned wheel processing.
Sensitivity study of vibration responses on vehicle body to typical damages of ballastless track structures
Authors: Jiang Shaoxin , Zhang Kun 
Published: May 2021

Abstract
A method is proposed to investigate the sensitivity of the vibration responses on vehicle body to typical damages of ballastless track structures based on a coupled rigid vehicle body and flexible track model. Firstly, a coupled rigid vehicle body and flexible track model is established by combining SIMPACK and ANSYS software, and the reasonableness of the model is verified by coupling analysis. And then, the sensitivity of the vibration signals from different parts of the vehicle body to the typical damages of the ballastless track is investigated by simulating several typical damages on the flexible track model, and the feasibility of inversion of track damage based on the responses on vehicle body is investigated. The results show that a reasonable coupled vehicle-track model can be established by combining the finite element and multi-body dynamics method. The changes in the vibration responses of the vehicle body can reflect the typical track damages such as the loosening of rail fasteners, the debonding of CA mortar layer and cracks in track plate. The wheel-set axle box is the optimal location for installing vertical vibration sensors.
Discussion on intelligent monitoring technology of railway wagon
Authors: Ma Guiping , Deng Cheng-Yao , Li Dong 
Published: May 2021

Abstract
In the actual transportation process, a series of bad conditions could occur due to the unexpected opening of the door. This paper introduced the current situation of railway transportation process; analyzed the advantages and necessity of intelligent monitoring system; Then taking the boxcar as an example, the basic process of intelligent real-time detection is proposed; and the problems that may need to be considered in the actual implementation process are summarized.
Real-time high-precision location and mapping system based on NDT of the large scene
Authors: Liang Yu , Luo Jie , Liu Sijia , Luo Haoru 
Published: May 2021

Abstract
The traditional lidar registration algorithm has good stability and high precision when carrying out large-scale simultaneous localization and mapping. However, in complex and changeable environments such as outdoor, severe occlusion, or electronic interference, the signal is easily affected, and the positioning accuracy cannot be guaranteed. To solve the above problems, a high-precision localization method based on laser-point cloud NDT (Normal Distributions Transform) is proposed in this paper, which makes full use of the mean and variance characteristics of NDT registration of the midpoint cloud, and the proposed method is added into the complete framework of SLAM (Simultaneous Localization and Mapping). The algorithm proposed in this paper was verified on the “Wuling Electric Vehicle“ platform. The experimental results were showed that the proposed algorithm could effectively avoid the influence caused by signal weakening, which improved the positioning accuracy. It also had stronger robustness and better tracking performance.
Research on derivation of calculation formula and application scope of simplified formula about camber of gantry crane cantilever based on coordinate transformation
Authors: Kuang Xiangning , Hu Haoliang , Chen Feng , Ding Gaoyao , Zhang Zhijian , Yu Dongqiang , Qiu Faju , Hu Jinxiu 
Published: May 2021

Abstract
For the gantry crane with cantilever, its cantilever camber value has a great influence on the operation and stop reliability of the lifting trolley, which is an important performance index of the bearing structure of the equipment. When the height of the outriggers on both sides of the gantry crane is inconsistent, the vertical height difference measured at the cantilever end is not the actual upwarping of the equipment, and the numerical change caused by the height difference of the outriggers needs to be corrected. In this paper, the calculation formula of the upwarping degree based on the transformation of coordinate system is proposed, which can accurately express the upwarping degree of the cantilever. Based on this, the simplified formula is derived and the scope of application is limited, which is suitable for the inspection and calculation in engineering practice, and the error is within the allowable range.
Infrared-Visual Image Fusion and CNN Model in Electrical Faults Diagnosis
Authors: Su Lei , Ni Qi , Jin Qiao , Cao Boyuan , Xu Zhaohong , Yu Xiao , Wang Dai 
Published: May 2021

Abstract
In this paper, we proposed a new faults diagnosis method based on the fusion of visible and infrared images of electrical equipment. Firstly, the discrete wavelet transform method is used to fuse the visible and infrared images, which enables the accurate location of the electrical equipment. Then, a deep convolution neural network (CNN) model is employed to identify faults in electrical equipment. Three parameters of CNN including connection weight, convolution layer parameters and pooling layer strategy are designed in this paper. The inputs of CNN are the fused reconstructed images and the outputs are the classifications of faults. Finally, simulation experiments and analysis show that the algorithm proposed in this paper can effectively improve the contrast and clarity of the fused images. It can reduce noise interference, and improve the location accuracy of electrical equipment. More specifically, the faults diagnosis rate is improved by 2-6% with the proposed method.
Application of lightweight magnesium alloy in satellite antenna products
Authors: yu-hua Li , Xue Liu Bo , Xiao Bo Zhang , Feng Zhao , Li-Li Jing 
Published: May 2021

Abstract
Combined with the actual work, the new metal matrix composite has the characteristics of light weight, low thermal expansion (CTE), ultra-high thermal conductivity, high specific strength, specific stiffness, good damping, etc. which is the key to realize the requirements of miniaturization, lightweight, long life and high reliability of aerospace products. This paper introduces the selection analysis and practical application of magnesium alloy in satellite antenna products. Antenna products based on magnesium alloy will be more and more widely used in aerospace field.
The design of the position detection system for drilling and stealing oil in oil pipeline
Authors: Qu Weidong , Yu Lijie 
Published: May 2021

Abstract
Oil theft by drilling refers to the theft of oil by drilling and installing branch pipes and valves on the oil pipeline, which can easily cause leakage and lead to the risk of pipeline failure. Drilling and oil theft is a problem that has troubled the oil pipeline enterprises for a long time, and it causes a series of serious consequences every year in China. This paper presents a design method of detecting system for locating the location of drilling and oil theft, which is accurate and reliable in performance. It can be operated under harsh conditions, and is very suitable for high pressure and harsh application environment. It has a good application prospect.
Research on Unmanned End-effector and Its Buffer Parameters
Authors: Zeng Zhe , Shi WenBo , Hou YangYang , Hong HuaJie 
Published: May 2021

Abstract
Based on the future application of integrated reconnaissance and strike of small unmanned combat platform, the parameters of terminal strike weapon and terminal buffer mechanism are designed and analyzed in this paper. Firstly, the internal ballistic simulation of the terminal strike load is carried out and verified with the experimental results. Then, the buffering system is modeled, the buffering parameters are analyzed theoretically and the local optimal solution is analyzed, the general law of the local optimal solution is obtained, and the optimal solution is obtained. Finally, the simulation is carried out.
Structure design of an omni-directional wheeled handling robot
Authors: Wu Binghui , Qin Dezhao , Chen Yuhan , Cao TianQi , Wu Maoliang 
Published: May 2021

Abstract
In response to the demand for automated item handling, this paper proposes an omnidirectional wheeled handling robot. Firstly, determine that its mobile platform is based on the design of the Mecanum wheel, which can move safely and efficiently. Secondly, according to the common object shapes, a single-side opening and closing insertion rack clamping mechanism is proposed. Thirdly, in order to meet the needs of transporting objects and avoid interference with the movement of the moving body, the mechanical arm is a four-degree-of-freedom joint structure. Finally, a decelerated AC servo motor with self-locking function is selected as the drive motor, and a low-speed motor with a reducer is used as the drive element of the moving body.
Electromagnetic Shielding Design of Transfer Orifice for Military Shelter
Authors: Zhang Weiliang , Wan Junlin , Zhang Qi , Gao Dinghan 
Published: May 2021

Abstract
Modern warfare has put forward higher and higher electromagnetic shielding requirements for the shelters loaded with various types of high-performance electronic equipment. The use of high-performance electromagnetic shielding shelters has become an important means to ensure the combat effectiveness and survivability of weapons and equipment. In view of the design of the transfer aperture of a certain type of military shielded shelter, starting from the electromagnetic shielding principle of the shelter, according to the theoretical calculation method of electromagnetic shielding effectiveness, the structural design elements of the shielded shelter transit orifice are detailed. Finally, according to the national military standard for shielding test verification, the shelter transfer orifice can meet the requirements of the shielding index, which can provide reference for the similar shielded shelter design.
Smart Design on the Flexible Gear based on Knowledge Graph
Authors: Hao Qin , Hu Shilin 
Published: May 2021

Abstract
The design of a mechanical component, such as flexible gear, would require plenty of time and energy retrieval relevant design data, information, and knowledge to complete the design tasks. However, current design support tools can hardly assist this requirement. To fill this gap, this paper has proposed a smart design tool based on knowledge graph to intelligent recommend the possible design data, information, and knowledge to engineering designs to facilitate their design tasks and improve design efficiency. This smart design method includes three parts, creating knowledge representation model, constructing knowledge graph, and developing collaborative knowledge management system for implementation. The methodology is demonstrated in this paper with a case study on the design of a double-arc tooth profile flexible gear for a harmonic drive reducer. The results have shown the feasibility of the method, the improvement in the design efficiency through intelligent recommendation of design data, information, and knowledge.
Design of digital recognition system based on FPGA
Authors: Yu Yuting , Qiao Ya , Ren Gangqiang , Jiao Jiajun 
Published: May 2021

Abstract
Digital recognition has become an important application of image recognition. We design a system, which takes FPGA as the core of hardware, Quartus II as the platform of software development, and uses hardware description language to complete the development. It completes the function of digital recognition. After the image is collected by the camera, the printed numbers in the image are recognized and displayed. Experiments demonstrate our design can achieve above functions on portable devices.
Analysis of Scanning Acoustic Microscopy Problems for Plastic Encapsulated Microcircuits with Complex Structure
Authors: Zhao Hailong , Zhang Kui , Zhou Zhenhua , Xi Shanbin , Ran Honglei , Huang Jie , Peng Hao 
Published: May 2021

Abstract
In order to keep up with the development trend of plastic encapsulated technology and effectively improve the Scanning Acoustic Microscopy (SAM) capability of Plastic Encapsulated Microcircuits (PEMs) with complex structure, the structural characteristics of complex packaging devices, the limitations of ultrasonic technology and the applicability of testing standards are systematically studied. The influence of complex package structure and chip coated structure on SAM detection is analysed. The influence of the limitation of ultrasonic technology on the thickness and number of layers of PEMs is studied. Finally, the applicability of SAM test standards is discussed. Through the research, many problems in the SAM detection of PEMs with complex structures are pointed out, and some test requirements and suggestions on test standards are given.
Design of Control System of Alkylation Unit in Petrochemical Enterprise
Authors: Guo Zhicheng , Cai Zhuoen 
Published: May 2021

Abstract
The temperature and liquid level in the alkylation unit are important factors affecting the product qualification rate, and the control is difficult due to the nonlinearity and hysteresis of the system. A control system with single-chip microcomputer MC9S12XS128 as the core is designed to collect operating data such as temperature and liquid level, and use fuzzy control methods to control it within the required range. The hardware circuit and software structure of the system are designed and tested and verified. The results show that the system has a good control effect and meets the requirements of the device for control accuracy and stability.
Simulation of Hydraulic Suspension System of Electric Tractor Based on Matlab-AMESim
Authors: Zhang Wei , Liu Mengnan , Xu Liyou , Zhao Xueping , Fu Xiao 
Published: May 2021

Abstract
For electric tractor engine power output characteristic, a load sensitive hydraulic suspension system in front of the valve is designed. In order to meet the operation requirements of different soil conditions when the electric tractor is plowing, and to improve the dynamic response characteristics of the system and the uniformity of tillage depth, a fuzzy PID based resistance-position combined adjustment tillage depth control strategy is designed. The hydraulic system simulation model is established based on AMESim, and the fuzzy PID controller model is established using Matlab. Through the joint simulation of AMESim and Matlab, the control performance of hydraulic suspension system of electric tractor with different resistance-position comprehensive proportional coefficients is analyzed. The simulation results show that the control strategy of tillage depth based on fuzzy PID is more responsive and anti-interference strong ability, the resistance-position combined adjustment has higher adaptability to different soil changes and operation methods than a single resistance adjustment or position adjustment.
Research and design of resource allocation algorithm in wireless communication system
Authors: Wei Jiaqi , Tian Haoyu 
Published: May 2021

Abstract
Although communication has been a topic of research since the 1960s, the last decade or so has seen a boom in research in this area. This is mainly due to the influence of several comprehensive factors, such as spectrum, power. We research the method Integer Fractional Frequency (IFR) and Fractional Frequency Reuse (FFR). We research some equations in a wireless system. And we calculate the capacity under different channel numbers. We also research the optimal power in a cell system, and the best suitable user number in the system. In a real environment, such a method can optimize the system capacity or performance and we can use a suitable model.
Music genre influence and artist similarity based on data analysis
Authors: Xiao Yuhui , He Zhilin , Liao Huming , Huang Kangjian , Zhao Jianping , Wu Yuchen 
Published: May 2021

Abstract
Based on related data and cluster analysis, this paper creates a mathematical model of similarity measurement based on the data set, and finally obtains the influence of different music genres on their followers and the similarity of artists of different musical genres. Here, since the study is about the similarity of music, it is divided into 2 categories according to the provided music characteristics and related indicators of music type. The data is standardized and normalized. Because there is no clear indicator to measure the similarity of music, we use spss to perform K-means clustering analysis. Here, since the similarity of music is studied, it is built on the music characteristics and music provided. Types of related indicators divide it into two categories for analysis. In order to determine the reliability of the model, this article uses meaningful learning to train 70% of the previous data, 30% to test, and finally establishes a complete mathematical model.
Distribution network planning and inventory management in a multi-retailing supply chain
Authors: Ji Jindi , Wang Yuxin , Jia Haitao , Shi Mingjun 
Published: May 2021

Abstract
A In this paper, we are aimed at discussing problems of distribution network planning and inventory management in a multiple-retailing supply chain. We study the distribution model and inventory management model, integrating both models to analyse the optimal decisions on maximum profit. The main methodology we used is literature study and model formulations. Through the research, we finally present the optimal distribution and inventory decision.
Analytical Solutions in a First-order Cubic Nonlinear System with Periodically Forced Oscillator
Authors: Sun Danping , Chen Lanzheng , Wan Renzhuo , Zhou Guopeng 
Published: May 2021

Abstract
In this paper, the analytical solutions for the period-1 motion of a cubic nonlinear dynamical system with two periodic forced terms are obtained through the generalized harmonic balance method. From the method, the analytical solutions are transformed to the Fourier series expansion in all harmonic terms at the equilibrium position. The stability and bifurcation analysis are investigated through eigenvalues analysis, and the accuracy of the analytical solutions is verified by numerical simulations. The harmonic amplitude distributions are presented to show the characteristic of the different-order terms with different excitation frequencies. From this study, the system parameters that make the system stable are determined. Furthermore, the robustness of the system is guaranteed by selecting the parameters appropriately.