bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of helical electromagnetic fields on the axion window
Authors: Kobayashi Takeshi , Jain Rajeev Kumar 
Published: March 2021

Abstract
Primordial electromagnetic fields can strongly affect the
cosmic evolution of axions, and vice versa. We show that if helical
electromagnetic fields are coherently produced in the early
universe, their remnants source a field velocity to the coupled
axions and enhance the relic abundance of axion dark matter. We
discuss the implications for the QCD axion and axion-like particles
that are coupled to the SM or hidden gauge groups. For a QCD axion
coupled to hidden photons, we find that the conventional window for
the axion decay constant 108 GeV≲ f ≲
1012 GeV can be completely closed due to
overproduction of axion dark matter by helical electromagnetic
fields as little as α Δ Neff≳
10-12, where α is the gauge coupling and Δ
N_eff is the effective extra relativistic degrees of
freedom of the hidden photons.
Continuous and discontinuous waves in an ASEP with pockets
Authors: Humenyuk Yosyp A , Kotrla Miroslav , Slanina František 
Published: March 2021

Abstract
We consider a geometric modification of the asymmetric simple exclusion process model in which each site of a one-dimensional chain is attached to a lateral dead-end site. Since it has an uncorrelated steady state, this model shows rich density profile dynamics over large distances and timescales. We analyse various waves emerging from initial step-wise profiles. The most interesting feature is that this model demonstrates travelling rarefaction and contraction waves with a discontinuity at the leading edge.
Wind Tunnel Testing Study of Segmented Slat with Simulated Icing for Civil Aircraft
Authors: Liu Yang , Zhou Xing 
Published: March 2021

Abstract
Icing accretion on civil aircraft have a severe impact on safety and performance, and the leading edge icing of wing resulting in maximum lift coefficient reduction, drag increasing, stalling incidence forward, control and stability worsening and even stalling. This article is to explore aerodynamic characteristics variation of civil aircraft with simulated icing accretion on different segmented slats through the means of wind tunnel testing, and the typical aerodynamic characteristic parameters involve maximum lift coefficient, stalling incidence and lift-to-drag ratio. Forces and moments measurement for configurations of the cruising, take-off and landing had been carried out, the results and analysis of testing data could be used for anti-icing design and operation strategy making.
Attention-based Machine Learning Model for Smart Contract Vulnerability Detection
Authors: Sun Yuhang , Gu Lize 
Published: March 2021

Abstract
Ethereum attracts extensive attention due to its distinctive function of smart contract and decentralized applications (Dapps). Since the number of contracts on blockchain has increased vigorously, various security vulnerabilities come up. Researchers rely on static symbolic analysis method at first, and it seems to perform well in the accuracy of vulnerability detection. However, this method requires manual analysis in advance and it needs to traverse all the possible execution paths to find out the vulnerable ones. The deeper the path goes, the more time it costs to detect the contracts. This paper proposes an approach to detect smart contracts vulnerability on blockchain by using machine learning(ML) methods. This approach aims to build a general benchmark for new vulnerability detection in order to reduce the demand of expert manpower. Moreover, the high-speed-performance ML algorithm makes quick detection comes true. As long as we adjust the threshold of the model, it can work as a fast prefilter for the traditional symbolic analysis tools in further improvement of accuracy.
Design of storage and management device of packaged FBG sensors based on RFID
Authors: Liu Shuochao , Lin Zhecong , Lu Meng , Zhu Pingyu 
Published: March 2021

Abstract
In the application of fiber Bragg grating(FBG) sensor in structural condition monitoring, the reasonable layout scheme is designed according to its central wavelength. However, the paper label with FBG central wavelength information may be lost when FBG is used, therefore it is difficult to store and manage FBG sensors. This paper designs a storage device and its management system of packaged independent FBG sensor based on RFID technology. The oblique grid structure can store the FBG sensors with the same central wavelength. The RFID reader module is arranged on the top of the box-type device with multi-layer oblique grid. The packaged FBG sensors are stored, read and classified with the help of special software.
Simultaneous Localization and Mapping using differential drive mobile robot under ROS
Authors: Housein Alaa Aldeen , Xingyu Gao 
Published: March 2021

Abstract
The present work shows implementation of SLAM for mapping and navigation in indoor environment under robot operating system ROS, using differential drive robot provided by laser scan. Mapping process is done by using ROS packages based on extended kalman EKF filter algorithm, whereas localization is done by using packages based on adaptive Monte Carlo localization AMCL, navigation is performed by ROS built functions. Paper also will give concrete intuition about using EKF to accomplish SLAM, and shows how the results diverge in case of not using SALM algorithm.
Design and dynamic simulation of manipulator
Authors: Sun Mingming , Zhao Yanan , Wang Zhonghui , Liang Bing , Shao LiuBao 
Published: March 2021

Abstract
Using a portable manipulator to take out the recovery crucible from the rare earth redox bath, its reliability is one of the bottlenecks restricting production automation. According to the production process of praseodymium and neodymium alloy, determine the mechanism design, and analyze the force to determine the motor selection. The manipulator model is established in the SolidWorks environment, the communication interface is compatible, and the adams software is imported to conduct dynamic simulation analysis of the manipulator mechanism. The manipulator opens and closes smoothly, and the output clamping force meets the theoretical value requirements. The motor is selected to meet the requirements of use.
A Novel Method for Knot-Tying in Autonomous Robotic assisted Surgery Using Deep Learning
Authors: Zhou Zhenning , Zu Xueying , Cao Qixin , Zhu Xiaoxiao 
Published: March 2021

Abstract
With the advent of robot-assisted surgery, surgical task automation, which means that robotic assistants could autonomously execute certain commonly occurring tasks, is more and more appealing and has been studied over the last several years because of the booming of deep learning. Mainly, such partial automation can help reduce the surgeon’s workload and allow surgeons to focus more on critical elements of the surgical workflow. In this paper, we propose a novel method using deep learning based on Variational Autoencoders for robotic assistants to learn knot-tying with the Data Set of manual operation, instead of learning from video demonstrations. Taking the circle action of knot-tying as an example, we make use of the VAE network to conduct feature learning and autonomous generation of knot-tying trajectories. During this time, the appropriate VAE network is built and implemented training, and after 100 rounds of training, experimental results show that we successfully acquire trajectories as expected using smaller Data Set with VAE network.
Design and Realization of full-automatic Device for Needle Pressure Gauge Verification
Authors: Su Yiming , Zhang Qi , Yang Shuiwang , Liu Yulei 
Published: March 2021

Abstract
In order to realize the full-automatic verification of needle pressure gauges of various specifications, a full-automatic verification device of pressure gauges based on six axis cooperative manipulator is designed. On the basis of reading the value of pressure gauges based on machine vision in the early stage, the device adds the structure of automatic grabbing, automatic installation and automatic calibration, so as to realize the loading, tightening, pressurizing, reading and unloading of pressure gauges in the verification process Automatic operation of material and data processing.
Research on nonlinear dynamic model of spur gear pair
Authors: Zhang Chen , Liu Xuew , Shi Xingl , Ling Xiaom 
Published: March 2021

Abstract
In this study, the meshing dynamic model of spur gear is established. Firstly, the relationship between center distance variation caused by geometric eccentricity, assembly error and shaft bending deformation and gear meshing parameters such as pressure angle, backlash and meshing stiffness is established. Secondly, under the dynamic condition, the dynamic model of the gear pair is established by calculating the backlash and meshing stiffness. Finally, a 6-DOF dynamic model including geometric eccentricity and pressure angle is generated. The numerical results show that the dynamic responses predicted by different models are significantly different. There is a significant coupling effect between gear meshing parameters and dynamic response. In a large range of torque and speed, there are differences between the meshing forces, especially in the main resonance speed and 1/3 of the speed.
Nonlinear vibration mechanism of elastic beam in large overall rotation with rotor eccentricity effect
Authors: Zhao Lei , Yan Zhao-Fang , Zhao Xin-Hua , Li Bin 
Published: March 2021

Abstract
The eccentric effect of rotor has seriously affected on the stability and precision of the mechanism at high speed for light and flexible mechanism in industrial application. The analysis of nonlinear vibration mechanism must be completed to realize precision and stable control of elastic beam in a large overall rotation. Firstly, the slender flexible rod is assumed as Euler-Bernoulli beam. We apply the deformation theory of elastic beam to establish its kinematic constraint relationship. Its dynamic model is built with Galerkin method and Hamilton principle. Then the Lagrange method is used to establish the rotor dynamics model based on the Jeffcott rotor. The coupling part between the motor and the elastic beam is assumed to be rigidly connected, and the dynamic model of the motor-elastic beam system can be obtained. Lastly, we analyze the nonlinear vibration mechanism of the elastic beam with rotor eccentricity effect through applying the fourth-order Runge-Kutta method and the superposition principle of traveling wave. It provides an important theoretical basis for making an effective vibration suppression strategy for elastic beam.
Design of mobile and low-cost feeding device for aquaculture feeds
Authors: Mao Wenwu , Zhang Kexin , Wang Dengkui , Lin Mindong , Chen Jiafeng 
Published: March 2021

Abstract
Artificial feeding is still widely used by small and medium-sized farmers in aquaculture, which requires a large labor cost and cannot guarantee the feeding efficiency. A mobile, low-cost, simple and practical feeding device for aquaculture feed was designed, including the overall scheme, the design of silo, feeding bucket, feeding mechanism and other mechanical structures. The feeding device can reduce the cost of aquaculture and improve the feeding efficiency.
Research on Key Technology of Water Robot Avoiding Collision Based on Improved VFH Algorithm
Authors: Chen Zihao , Pan Baofeng 
Published: March 2021

Abstract
For water robots in the intelligent operations meet to collision problems, a key collision avoidance algorithm based on VFH is developed, and the algorithm is improved and optimized, with a laser radar to launch the electromagnetic wave at a certain period Finally water robot controller was used to deal with data so as to analyze and process the data. Based on this, the histogram of obstacle vector field is established to judge the feasible and infeasible regions of the robot on water. Compared with the direction of the target destinations in feasible region corresponding weighting function is designed so as to determine the feasible area with smaller weight. the simulation by MATLAB to water robot position point for data analysis, Thus the simulation of water robot collision avoidance path diagram.
Summary of fatigue durability analysis of whole vehicle
Authors: Shen Nai-Rui , Liu Fei , Qu Jing-Jing , Lan Hai , Liao Hong-Yi , Zou Yu-Jie , Su Qi 
Published: March 2021

Abstract
Technical characteristics and development trend of the fatigue durability analysis of the whole vehicle were reviewed in the directions. These existing research results were systematically summarized from the research status, signal acquisition, finite element analysis, load spectrum extraction and fatigue life. Wherein, the strengths and weaknesses of the virtual iteration technology was explained in detail, in which the result evaluation standard was mainly composed of relative damage value; and also the characteristics of fatigue damage theory and analysis method were summarized detailedly; additionally, the practical critical plane method possessed the advantages of the measurable component damage values, but this method still needed to be solved the problems of crack propagation direction. Moreover, according to the existing technology and achievements, reducing model errors and road conditions selection will become the development trends of vehicle fatigue durability technology in the future.
Experimental study on static/dynamic performance of escalator steps
Authors: Liang Xiao , Ren Facai , Gan Bin , Hou Shaoyi , Shi Hongjun 
Published: March 2021

Abstract
The step performance is very important for the safe operation of escalator. In this paper, static and dynamic load tests of aluminum alloy and stainless steel escalator steps are carried out. The breaking strength, deformation and first order modal frequency of the step with different sizes and materials are analyzed. The results show that the breaking strength and first order modal frequency of aluminum alloy step are higher than those of stainless steel step, and the maximum deformation of aluminum alloy step is smaller than that of stainless steel step.
Based on workbench simulation to research the influence of different pin structures on the assembly of silicone rubber buttons and PCB
Authors: Tang Changhua , Ma Xiaosong , Wu Keye , Ming Zihao 
Published: March 2021

Abstract
At present, one silicone rubber button and no pins nozzle structure that can be used for automatic sticking group have been developed, but the pin’s structure of the silicone button greatly affects the success rate of the sticking group and the stability after the sticking group is completed. Therefore, it is very important to research the assembly process of silicone rubber buttons with different pin structures and PCB, which has great research significance. In this paper, we used Solidworks to create three silicone rubber buttons with conical, arc, and cylindrical node pin structures respectively, used workbench to simulate the process of button pins and PCB assembly. By comparing the pressure changes of different pin structures in the process of fitting and analyzing the influence of different pin structures on the assembly process. It is concluded that the arc node pin structure is more effective.
The modular structure designs of a type of stir frying device
Authors: Lv Zhongliang , Li Zelun , Zhou Chuande , Yang Lin , yang Yi , Wang Binbin , Zhu Ruixiang , Han Yu , Han Senping , Huang Zhicheng 
Published: March 2021

Abstract
The main task of cooking robot is to complete all kinds of cooking work instead of people. Based on the single-chip microcomputer control system, the author describes the modular design of a stir frying device in this article, and elaborates on the overall scheme design, mechanical structure design and control system design of a type of stir frying device. The device detects the temperature in the pot through a temperature sensor, controls the mechanical arm, the pancake turner and ingredient tray through two steering engines, a stepping motor and an adjustable-speed DC motor to make them reach the designated position. The entire cooking process is coordinated and controlled by the program. It can complete a series of actions such as pouring oil, putting vegetables in the pot, adding seasonings, stir-frying. Besides, it also can control the cooking time and heating degree in each link until the production of a dish is completed. The stir frying device realizes the modularization and automation of the cooking process.
Automatic detection system for performance curve of exhaust valve of tractor turbocharger
Authors: Dong Mingming , Lu Shen , Wang Mengyao 
Published: March 2021

Abstract
The matching of the tractor turbocharger and the engine has a great influence on the vehicle’s dynamics, economy and other parameters. The bypass air release adjustment scheme has been widely used due to its simple structure and high reliability. Therefore, a platform capable of qualification testing is needed to test and evaluate the performance of the air release valve. This article carried out the design of the hardware detection platform of the bypass valve, and completed the program design based on the force control configuration program platform, which mainly includes manual static, automatic static and dynamic detection of the tractor turbocharger exhaust valve Procedures etc. The detection system has the characteristics of low cost, high degree of automation, high detection accuracy, and strong stability, and can perform detection of different types of bypass valves. The performance of the hardware platform and software was verified through experiments. The experimental results show that the detection system can meet various requirements and can be used for the detection of actual vent valve production.
Reliability Analysis of Fiber Bragg Grating Sensors packaged with Carbon Fiber Reinforced Plastics based on FMEA
Authors: Li Yongjie , Liu Zheng , Zhu Pingyu , Zhang Nan 
Published: March 2021

Abstract
The performance of packaged Fiber Bragg grating (FBG) sensors with carbon fiber reinforced plastic (CFRP) may degraded even functional failure with the working time increases. The reliability of this kind of packaged FBG sensors has been analyzed by using the FMEA method in this paper. Considering the working environment of FBG sensor, such as alternating loads and ageing, the related failure modes are discussed. The risk index of each failure mode is calculated. The relationship between different failure modes is analyzed, and as well as the weak links of the packaging design and process of the FBG sensor. The results are helpful to improve the availability and the reliability of packaged FBG sensor by CFRP.
Technical study and experimental research on the cloud collaboration model of Soften-standardized
Authors: Pan Jiafang , Tang Shixiao , Rong Xingpeng , Liu Hanying , Huang Faguo , Tu Chengsheng 
Published: March 2021

Abstract
This paper discusses and analyzes the technical ideas of the soften-standardized cloud collaborative manufacturing model of bearing components with seat, including soften-standardized processing, intelligent fitting algorithm, intelligent matching algorithm and product data flow. Because it has obvious advantages compared with the traditional group assembly method, it can be expected that this technology will become a competitive choice for low cost processing and high quality production of large-scale precision assembly components manufacturing enterprises. In order to verify the feasibility of this technology in mass production, a set of experimental methods are designed and verified step by step. The experimental results show that the technology is not only feasible, but also can change the existing factors of production. The failure rate of bearing and bearing can approach zero theoretically and the assembly quality of bearing assembly is higher.
Fault diagnosis of VSG inverter under grid connection
Authors: Zhang Yan-Kai , Luo Yi , Li An-Hao , He Yu-Hua , Wang Tengfei , Cheng Zhe 
Published: March 2021

Abstract
Under different working conditions, the output variable waveform corresponding to the same fault will be different. This article introduces the VSG inverter model under grid connection and verifies the correctness of the model. The three-phase current of the inverter bridge arm is selected as the research object, and the time-domain two-dimensional graph is formed as the And classify single IGBT and 2 IGBT open circuit faults, and encode various faults. eature vector; the deep convolutional neural network is established and the fault diagnosis is performed, and the feature vector is used as the input and the corresponding fault code is the output. The training simulation realizes and verifies the feasibility and accuracy of the fault diagnosis of the VSG inverter using the deep convolutional neural network.
Review on Fault Diagnosis on the Rolling Bearing
Authors: Zhang Tengfei , Liu Shuyong , Zhang Suai 
Published: March 2021

Abstract
As the most basic parts of rotating machinery, the health condition of rolling bearing affects the performance and safety of the whole mechanical equipment. Therefore, the accurate fault diagnosis of rolling bearings is the basic condition to ensure the good working condition of the equipment. This passage reviews the research on fault diagnosis methods at home and abroad. Based on two aspects of fault feature extraction and fault pattern recognition, the advantages and disadvantages of the main methods were analyzed respectively, and the research trend of bearing fault diagnosis was summarized and prospected.
ASAFPN:An End-to-End Defect Detector With Adaptive Spatial Attention Method
Authors: Ouyang Sen Shan , Li Yucheng , Cao Ming Sheng , Chen Chen 
Published: March 2021

Abstract
Industrial defect inspection aims to detect unqualified products from those samples under detection, which plays a vital role in ensuring the quality of products. In this paper, an end-to-end defect detection network is proposed to locate the defect position of steel plate images and predict the defect category. In the detection network, we propose a novel feature pyramid network module, which is called the adaptive spatial attention feature pyramid. It can effectively fuse the texture features at low levels with semantic features at high levels. Based on the proposed module, persuasive experiments are carried out using different backbone networks. Experimental data shows that the feature pyramid module can effectively extract different levels of information and adaptively fuse multiple hierarchical features to improve the detection effect of the network.
Fault Diagnosis of Rolling Bearing under Variable Speed Conditions using Multisynchrosqueezing Transform
Authors: Liu Qi , Wang Yanxue 
Published: March 2021

Abstract
Fault diagnosis of rolling bearing has always been the focus of engineering research. Under variable speed conditions, the fault characteristic frequency will change with time. Time-frequency analysis method is an effective tool for studying time-varying signals, but the traditional time-frequency analysis method is easy to generate a plane with low time-frequency resolution and poor energy concentration, which is difficult to meet the requirements of practical applications. In this paper, we introduce a recently developed time-frequency post-processing technique, called multisynchrosqueezing transform. By performing multiple SST operations, this method can greatly improve the time-frequency energy concentration and obtain a satisfactory representation. Finally, this method was used to diagnose the rolling bearing faults in variable speed conditions successfully, and the effect was better than the traditional time-frequency analysis methods.