bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Energy Management Strategy of Vehicle Fuel Cell-Battery Hybrid Energy System Based on GT-SUIT/Simulink
Authors: Ji Chuanlong , Qiu Liang , Zheng Zhiqiang , Zhang Yan 
Published: May 2021

Abstract
Aiming at a fuel cell electric vehicle, this paper establishes a fuel cell electric vehicle power system simulation platform based on GT-SUIT and Simulink, and proposes a rule-based energy management control strategy. Under the selected European Driving Cycle (NEDC), the simulation results show that the control strategy can effectively distribute energy between the fuel cell and the battery, and meet the power demand of the vehicle. The SOC of the battery is always kept in a reasonable range.
Structure optimization design of forging hydraulic press
Authors: Wang Xiaoying 
Published: May 2021

Abstract
In order to improve the centring and production efficiency of punching, we can add a centring structure to improve the centring of forgings in the punching process, which is mainly used to ensure the correct position of forgings during upsetting and punching, that is, to ensure the center of forgings and the center of hydraulic press to coincide. At the same time, a swing punch structure is added to clamp the replaceable punch, which is mainly used to ensure that the center of the hydraulic press coincides with the center of the punch, and there is no need for manual or auxiliary machine in the working process of the swing punch structure, which can greatly improve the production efficiency.
Design of NB-IoT smoke sensing terminal based on photovoltaic and supercapacitor power supply
Authors: Liu Yiming , Miao Fengjuan , Su Wei , Yang Le , Li Xue 
Published: May 2021

Abstract
The common smoke detection terminal designed for fire detection is mainly based on wireless communication technology and sensor technology. With the development and application of 5G technology in recent years, the Internet of Everything will become a historical inevitability. Compared with the traditional wireless networking technology, the application of NB-IoT technology can greatly reduce the power consumption and cost of the equipment, and also increase the service life of the equipment. Under the background of more and more mature communication network technology in the future, how to make the equipment more durable and lower power consumption has become one of the key issues to improve the performance of the equipment. Therefore, the power equipment charging with polycrystalline silicon photovoltaic cells and storing energy with supercapacitors can supply energy for the detection equipment continuously. The photovoltaic charging circuit uses the variable step length conductance increment method to track the maximum power point to improve the utilization rate of solar energy. As a communication technology, narrow-band IoT can reduce more power consumption. The narrow-band bandwidth allows devices to be widely placed in a fixed area. Under the premise of realizing the functional requirements, the principle of hardware and software design is mainly to realize the low power consumption in all aspects, and the design of the upper computer is mainly to realize the real-time understanding of the detection equipment.
Discussion on the Research of GFRP Anti-floating Anchors
Authors: Cao Yingqian 
Published: May 2021

Abstract
As a kind of anchor to deal with the anti-flotation problem of floor, anti-flotation anchors have many advantages, such as strong adaptability to stratum, high anchoring force, low cost, short construction period, small stress at single point, simple construction and low cost, compared with the traditional anchor. In recent years, it has been more and more applied to solve the problems of foundation pit supporting and foundation floor anti-floating in the construction process of buildings. In this paper, the stress and strain distribution law, load transfer characteristics and the relationship between GFRP anti-floating anchor and rock mass of GFRP anti-floating anchor are summarized, and suggestions for the future development of GFRP anti-floating anchor are put forward.
Optimized Design Based on FSC Racing Wheels and Brake Discs
Authors: Pan Jialun , Wu Siyu , Huang Yanyang , Li Boyang 
Published: May 2021

Abstract
As we all know, there are many factors that affect the lap time of a racing car, and the performance of the braking system is an important part to ensure the delayed braking and driver safety. In this paper, we plan to design a wheelside braking system for FSC racing cars through CATIA, ANSYS and other modeling and simulation software, and verify the reliability of the design through calibration and calculation for various working conditions. to ensure that the brake system can function properly under extreme conditions.:
Research on foldable coupler device of modern tram
Authors: Yang Bo , Liu Huanjun , Yin Jun 
Published: May 2021

Abstract
This article introduces the basic requirements of the coupler buffer device of modern tramcars, gives a detailed description of the new type of folding coupler type, structural parameters, and principle of action. At the same time, the compression and tensile strength analysis of the main stressed parts of the foldable coupler after the lightweight structure design transformation carried out through finite element, and the analysis results meet the design requirements.
Gantry type rotating platform obstacle avoidance crane
Authors: Zhang Yu , Chen Yun 
Published: May 2021

Abstract
The rapid development of modern logistics industry has higher requirements for logistics machinery and equipment. As an important equipment for material handling, cranes are used more and more widely in the modern production process. At present, cranes have problems such as large size, inconvenient movement, and inaccurate positioning. Based on the above background, the project team designed a gantry type rotating platform obstacle avoidance crane. The crane breaks through the transportation limitations of the original crane. It uses the direct rotation of the pan-tilt and the movement of the spreader on the track to accurately avoid obstacles, which improves the flexibility and accuracy of transportation; the entire transportation process is fully automatic control, which combines the machinery with The combination of intelligence improves transportation efficiency and realizes the accurate transportation of multiple goods.
Microstructure analysis of P91 heat resistant steel in service for 3 years
Authors: Ren Facai , Xu Jinsha , Tu Zhiqiu , Si Jun 
Published: May 2021

Abstract
P91 heat resistant steel is an important material for supercritical units. In this paper, a P91 heat resistant steel pipe which has been used for about 3 years is analyzed by means of hot tensile test, metallography and scanning electron microscope. The results show that the microstructure is martensite and a large number of Cr-rich precipitates are distributed at the grain boundary. There are pores and cracks in the fracture of high temperature tensile specimen.
A distributed energy equipment with highly efficient heat dissipation
Authors: Wang Zhongyu , Liu Peichen , Jiang Qiushuo , Wan Yi , Yang Chengcheng , Wang Xu , Liang Jiachen 
Published: May 2021

Abstract
Distributed energy technology is an important development direction of the world energy technology in the future [1]. It has the characteristics of high energy utilization efficiency, small negative impact on the environment, improving the reliability of energy supply and good economic benefits. At present, China’s distributed energy technology is not mature enough. Aiming at the heat dissipation problem of distributed energy technology, we propose a method of using natural rainwater air cooling to realize the efficient heat dissipation of distributed energy equipment. It provides a reference for the development of distributed energy technology.
Research on Road Landscape Scale Design Based on the Neural Network Algorithm
Authors: Chen Hua , Shang Yan 
Published: May 2021

Abstract
There had high traffic accidents rate in China. The accident rate was on an upward trend every year. The cause of the accidents frequently occur, including the driver’s driving level, the safety performance of the car and the design of the road landscape scale. Therefore, in order to reduce the accident rate, this paper presented the research of road landscape scale design based on neural network algorithm to reduce the accident rate. The scale of the landscape was designed by neural network algorithm, and then transforming variables, size and other design elements were processed. The paper had selected the road as a pilot at random, with the most humane scale design as the standard for regional design investment. Through comparing the monitoring of pilot locations, we found that the rate of traffic accidents had been effectively reduced.
The Design of Unmanned Retail DIY Beverage Machine
Authors: Gai Kerong , Li Miao , Zhou Fengying 
Published: May 2021

Abstract
Intelligent technology has begun to replace humans with multiple scenes. This paper discusses a sort of intelligent device which is based On the integration of double cooperative robot arms, double capsule machine and other components, to achieve the design of personalized unmanned production and sales of 20 kinds of drinks. The device utilizes the cloud order system and unmanned retail technology to realize the de-artificial online and offline 24 hours uninterrupted multi-beverage customization service.
Mechanism design and simulation analysis of robot system for vascular interventional surgery
Authors: Yu Haoyang , Wang Hongbo , Liu Wenjie , Niu Jianye , Huang Da , Yang Xue , Dong Yu 
Published: May 2021

Abstract
At present, the mortality of cardiovascular and cerebrovascular diseases is getting higher and higher, interventional surgery has obvious advantages over traditional surgery, and robot technology has also entered this field. Combined with the existing research results, a set of surgical robot system is designed. The operating device uses magnetic powder brake to provide real force feedback of braking torque, the propulsion device adopts a clamping rod structure to accurately clamp the catheter or guide wire, and the force signal is collected by using the lever principle. Finally, the study of the dynamic characteristics of the propulsion device shows that the smaller the quality and the higher the tension force are, the more favorable the performance of the propulsion device is, and the calculation verifies the rationality of the transmission part of the propulsion device.
Design of an Asymmetric Multistage Depressed Collector for K-Band 100W Traveling Wave Tube
Authors: Bao Hailong , Tang Kangsong , Cao Linlin , Su Xiaobao 
Published: May 2021

Abstract
Efficiency and back-streaming current are important indicators in a traveling wave tube (TWT). A new asymmetric multistage depressed collector (MDC) is needed when designing a K-band 100W space TWT for high collector efficiency and low back-streaming current. In the new collector, the second, third, and fourth electrodes are asymmetrically designed to form an asymmetric electric field, and the potential and geometry of the electrode are appropriately optimized. The simulation shows that when the electronic efficiency is 27.28%, the collector efficiency is 85.34% with zero back-streaming current.
Optimization Design and Analysis of All-terrain Vehicle Based on Modal Analysis
Authors: Pan Keqiang , Zheng Weizhong , Shen Xin 
Published: May 2021

Abstract
Under a certain stiffness and strength, the dynamic characteristics directly affect the stability and off-road quality of the all-terrain vehicle (ATV) when driving on complex terrain. With the innovative design of ATV, the 3D model and the finite element analysis model are established. Based on the static analysis, ANSYS analysis software is applied for the body modal simulation analysis, aiming at reducing the body deformation and improving the low-order natural frequency of ATV. By comparing the influence of the finite element modal analysis results on the dynamic characteristics and stiffness characteristics of the ATV under typical conditions, the weaknesses of the structural design are pointed out, which provides the research basis for the further improvement and technical upgrading of the prototype.
A design scheme for harmonic suppression network of high efficiency class-F power amplifier
Authors: Liu Chengxin , Chen Xiaolong 
Published: May 2021

Abstract
This paper presents a design scheme of class-F PA harmonic suppression network. This scheme combines the advantages of lumped parameter elements and distributed parameter elements, and makes use of the characteristics of high Q value (quality factor), large adjustability of capacitance and high reusability of the microstrip line, so that the harmonic suppression network has the advantages of them. Based on the proposed scheme, a class-F PA with a frequency of 2.4GHz and a maximum PAE of 68.86% is designed, the output power of which can reach 17.5W (42.42dBm), so as to verify the feasibility of the proposed scheme. This scheme can improve the output power of UHF (300 ~ 3000MHz) class-F PA and reduce the difficulty of circuit design under the condition of high PAE.
Research on a New type of Wiper Assembly Based on New Energy Vehicle Electrical System
Authors: Deng Qingjun , Li Peipei , Zhao Yi , Liu Yong , Hu Jianyu , Song Shijie 
Published: May 2021

Abstract
This paper analyzes the research status of commonly used wiper assembly. It propos es a wiper assembly which is applied to new energy vehicles. Moreover, a new set of wiper ass embly device is developed and the hardware design and software programming of the device h as been accomplished. This device is used to test the cleanliness and noise of the front windshi eld of a car. And the test results are presented. The test shows that the device has stable perfor mance, simple operation and it meets the cleaning requirements of new energy vehicles. This p aper provides technical support and technical reference for the research and development work of new energy vehicles and electronic parts enterprises.
Design and Application of Temperature Monitoring System for Dangerous Goods Container Yard
Authors: Wang Mingchao , Meng Guodong , Zhao Xin 
Published: May 2021

Abstract
Container shipping of dangerous goods can effectively reduce the damage rate of dangerous goods. However, due to the physical and chemical properties of dangerous goods, such as flammability, explosiveness, and corrosion, there are many safety matters that need to be paid attention to when the containers are stored in the yard, especially the temperature. In this paper, a temperature monitoring system (short for TEMP Monitoring System) is developed for the temperature monitoring needs of the dangerous goods container yard. The system is composed of a temperature sensing terminal, a repeater and a terminal processor, which can monitor the temperature of the yard container in real time and effectively improve the level of safety supervision.
Application of Artificial Neural Network in Course Design of Safety System-Taking a rail transit operation safety evaluation as an example
Authors: Chen Jianhua , Xu Haoming , Gao Wei , Gao Jingsheng 
Published: May 2021

Abstract
In the course design of safety engineering, artificial neural network was adopted to assess the operation safety of the urban rail transit system by using the generalized regression neural network. By comparing the evaluation values with the scores graded by the experts, the results indicated that predictions by using the generalized regression neural network had the better performance. Therefore, the GRNN was capable of evaluating and predicting the operation safety of the urban rail transit system.
Study on the design method of interference fit between gear and shaft of automobile transmission
Authors: Li Shuge , He Zhangtao , Zhao Pengju 
Published: May 2021

Abstract
The interference fit of gear and shaft in automobile transmission has an important influence on the performance of gear transmission. In order to design reasonably and calculate accurately, the theoretical calculation model of the interference fit between gear and shaft is established according to the principles of elastic-plastic mechanics. A new method of calculating the amount of interference is designed based on the Lame equation. Three limiting conditions are taken in the calculation. They are load transfer capacity of gear, no plastic deformation of fitting surface and control of gear tooth deformation. The theoretical calculation and finite element simulation analysis are carried out in an application case. The results of calculation and analysis show that the interference fit of gear and shaft has an important influence on the gear tooth deformation. The amount of interference calculation method in this paper can reduce the deformation of gear tooth and make the gear have higher accuracy.
Research on Credit Strategy of Small and Medium Enterprises Based on Subjective and Objective Comprehensive Evaluation
Authors: Zou Yuxuan , Zhang Yunxuan , Jiang Lintao 
Published: May 2021

Abstract
In order to study the adjustment of national policies on medium, small and micro enterprises, and to determine the credit risk and credit strategy of banks to medium, small and micro enterprises. Firstly, the enterprise strength and comprehensive reputation of small and micro enterprises are analyzed, and their weight is determined by the subjective and objective comprehensive evaluation method, and the credit risk factors of each enterprise are calculated. A dual objective optimization model was established and solved by simulated annealing algorithm. The optimal profit amount and annual average interest rate of banks for different industries and different categories of credit strategy are obtained. Analytic Hierarchy process and Fuzzy Bayesian network are used to explore the influence of multiple emergent factors on banks adjustment credit strategy.
A research on foot size measurement algorithm based on image
Authors: Wang Huawen , Liu Fuchang , Fan Ran 
Published: May 2021

Abstract
Foot size measurement has a wide range of applications. It can not only be used in medical foot health, evaluate the health index of the foot, improve the health of the human foot, but also provide a large amount of foot data for the study of kinematics. Due to the limitations of measurement equipment and related algorithms, 3D foot measurement cannot be widely used. We proposed a fast and convenient foot measurement method based on deep learning and image segmentation algorithms. The HED model is used to detect the edges of A4 paper; the traditional image segmentation algorithm GrabCut is used for segmentation of the foot area. The results show that the algorithm proposed in this paper has a faster measurement speed and higher accuracy for foot size measurement.
Linear Regression Model of Railway Passenger Traffic Volume and Its Influencing Factors
Authors: Zhang Yue 
Published: May 2021

Abstract
The railway is one of the most crucial transportation modes in China and plenty of people choose to travel by railway. Finding the influencing factors of passenger traffic volume of the railway can help us to develop the railway construction. Substantial research has probed factors influencing the railway passenger volume and has identified several influencing factors. In this study, we try to find a long-term relationship between passenger traffic volume of the railway and six influencing factors, which are total population, employed persons, number of national railway passenger coaches owned, GDP, and household consumption expenditure. In order to find long term relationship models, we collected the data of r passenger traffic volume of the railway and other six influencing factors from 1978 to 2019. By developing several multiple linear regression models, we can see that all of these six factors can impact the passenger traffic volume of the railway and the model of six factors can describe the relationship well. After simplifying the model with six factors, we find two more models that can describe the relationship with less influencing factors, which are y = 1.059 × 105 - 1.773 × 10-2
x
1 + 2.729 × 10-1
x
5 + ε and log(y) = 11.5-3.309 × 10-8x1+1.435 × 10-6x5+ε. Using the diagnostic plots to analysis these two models, we find that log(y) = 11.5-3.309 × 10-8x1+1.435×10-6x5+ε is better. According to the model, GDP and traffic volume are two main influencing factors on the railway passenger volume. We use this model to predict the railway passengers in 2019 and compare the predict value with the data. The error rate i 5.4688% and we believe that this log(y) model can also be used to predict the railway passenger volume.
Improvements of YoloV3 for road damage detection
Authors: Wang Qinglang , Mao Jingchao , Zhai Xu , Gui Jie , Shen Wenjie , Liu Ye 
Published: May 2021

Abstract
Automatic detecting road damage from images is a challenging problem. Recent advances in deep learning based detectors offer a powerful tool for resolving this problem. However, these deep learning detectors are designed for detecting generic objects, the specific characteristics of road damage are not considered in these methods. We propose in this paper an improved method based on YoloV3 that takes in consideration the slenderness and tininess nature of the road damage, which require low-level and detailed description. Our method fuses the low-level feature with high level feature to enhance the description power of the network, and also an improvement to the loss function further boosts the detection performance. Experimental results have demonstrated the effectiveness of proposed method.
Diffusion of nano-rods
Authors: Ma Fu , Wang Zhihai , Wang Yaohong 
Published: May 2021

Abstract
Diffusion behaviors in nano-rods suspension in the fluid are investigated by Stochastic Eulerian Lagrangian Methods, where the degrees of freedom for coarse-grained microstructure are coupled with continuum stochastic field to capture both the relaxation of hydrodynamic modes and thermal fluctuations. The diffusion characteristics of a single rod and multi-rods are examined with hydrodynamic interaction in three dimensions. For a single rod, the mean square displacement is verified by comparing with prior experimental results. The effects of hydrodynamic interactions on the translational and rotational diffusivity with different aspect ratios are represented by velocity auto-correlation function and the orientational auto-correlation functions. For multi-rods cases, we obtained their diffusion in the ballistic and the short-time regime. The comparison between the SELM and the Langevin method confirms the hydrodynamic effect.
Analysis and Economic Prediction of Stock Index Based on Index Tracking and ARIMA Model
Authors: Zhang Xiaoduo , Zhai Rui , Gao Wen 
Published: May 2021

Abstract
Investors buy assets in the target index, if all, the cost is too high, generally not feasible. This paper carries on the stationarity test and the unit root test to the time series, establishes the ARIMA model of the stationary sequence obtained after the difference of the non-stationary sequence, determines the constant of the ARIMA model according to the ACF diagram and the PACF diagram. By analyzing the current exponential fluctuation, the time series model is used to predict the exponential fluctuation in the next year. Through the evaluation and analysis of the prediction results, reasonable investment suggestions and strategies can be obtained.