bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental study on the ozonation of transformer oil in wastewater enhanced by hydrocyclone and cavitation
Authors: Qu Zihan , Cai Xuan , Zhang Ying , Zhang Chi , Wang Jing , Yu Danping 
Published: November 2022

Abstract
The treatment of transformer oil wastewater in the accident oil pond with ozone has no secondary pollution to the environment. The cavitation technique was used to enhance the oxygenation process and hydrocyclone separator to do the pretreatment. After transformer oil sewage enters the hydrocyclone, the separation efficiency reached up to 60%, which reduces the processing load of subsequent cavitation device. Through 10min cycle treatment of ozone in a cavitation device, the oil concentration of the imported wastewater was reduced from 50mg/L to below 5 mg/L, which has reached the Class-I discharge standard of industrial water. The optimal operation parameters of cavitation were studied by adjusting the inlet pipe gap and gas-liquid ratio of cavitation.
Assembly and dynamic operation simulation research of tooth-locked-output harmonic gear reducer
Authors: Ju Bin , Fan Yuanxun 
Published: November 2022

Abstract
Aiming at the special structure of the tooth-locked-output harmonic gear reducer, a simulation analysis method of ring shape flexspline based on ABAQUS is proposed in this paper. In the process of simulating assembly, this paper proposes a new method of “interference assembly first and then interference elimination”;In the process of simulating dynamic operation, this paper uses the “Continuum Distributing” coupling function to solve the difficult problem of setting the boundary conditions of the ring shape flexspline, and completes the data transfer between the two analysis processes. The research shows that the method proposed in this paper effectively reduces the difficulty of the ring shape flexspline simulation analysis, and reduces the cost and time for subsequent research.
Uncertainty measurement and research of Finite element analysis of Water Jet data based on Internet of Things
Authors: Wang Changhu , Meng Weiyun , Wang Jianxiang , Min Xiangmei 
Published: November 2022

Abstract
Nowadays, the concept of energy saving and water saving is deeply rooted in people’s minds, so it is necessary to promote efficient water-saving irrigation technology. Sprinkler irrigation is an efficient water-saving method, which is relatively uniform and does not affect the structure of the soil. It saves time and labor to irrigate fields, and has been used in more and more areas in China. The Internet of things technology is used to establish monitoring sites, collect and transmit water information, study and analyze crop fertilization and irrigation water volume, and achieve the purpose of saving water, fertilizer and labor. In test site traffic and sprinkler relationship between speed and pressure test, flow and in different pressure conditions were measured under different conditions of running speed, observe the fluid flows through the three links of pipe head loss and energy loss of the tee to the role of the internal pressure and axial force and other force, high stress concentration areas vulnerable to damage. The hydraulic characteristics in the process of water spraying are studied. The numerical simulation in this paper is completed by finite element software, and the hydraulic characteristics of the three-way pipe are analyzed by finite element to optimize the structure of the three-way pipe.
Energy consumption analysis of intelligent temperature control steaming process of new concrete prestressed pipe piles
Authors: Zhang DongMin , Xu YinCang , Huang PengLiang 
Published: November 2022

Abstract
The traditional steam maintenance process of concrete prestressed pipe piles adopts steam maintenance, and the energy utilization rate is not high due to the inaccurate temperature automatic control system in the steaming pool and the serious loss of steam during the steaming process. In order to effectively ensure the strength and durability of concrete pre-products, shorten the production cycle at the same time, realize the automation of the steam pond temperature control system, the new maintenance process in the traditional maintenance process by manual temperature adjustment on the basis of intelligent control of temperature, thereby improving the accuracy of the steam pool temperature control system. In order to improve the energy utilization rate of the traditional steaming process of concrete prestressed pipe piles, the new concrete pipe pile maintenance process uses recycled water to maintain it, which has a certain energy-saving effect relative to the traditional steam maintenance, and calculates the energy consumption of the new steaming process and the energy consumption of the current steaming process of the enterprise to determine its energy saving.
Intelligent 3D Visual defect Detection for Industrial Applications
Authors: Yang Rui , Ke Hualin , Gan Lin , Li Yuhong , Hu Ruihan 
Published: November 2022

Abstract
Currently, new energy industries such as electric vehicles and energy storage batteries are experiencing rapid growth throughout the world. As a recognized ideal energy storage element, lithium batteries have also attracted considerable interest. To improve image contrast, the industry employs image preprocessing algorithms. Due to the high requirement of image consistency in the template matching method, which is difficult to meet in practice, and the large apparent difference between defects, it is challenging to design features. Therefore, the framework for defect detection is based on a method of deep learning with strong feature expression capability. In light of the severe imbalance in the number of samples in defect detection, data augmentation and generation methods are used to simulate real samples in order to improve the training effect of deep neural networks and alleviate the burden of data annotation to some extent.
Structural Strength Analysis and Stress Testing of Portal Crane based on Finite Element Method
Authors: Chen Min , He Shan 
Published: November 2022

Abstract
In order to ensure the safety of the long-term service shipbuilding portal crane, this paper analyzes the stress distribution of the crane metal structure by using the finite element analysis method, which plays an auxiliary role in the crane safety assessment. The working condition at the most dangerous working position of the crane is selected as the stress test condition for analysis, and compared with the simulation calculation. The finite element calculation results show that the stress distribution of the whole machine is relatively reasonable. The overall stress is basically less than 100 MPa, and the maximum stress value is 131 MPa, which is less than the allowable stress value of the material. And through the comparison with the actual stress testing data, they are also basically consistent, and the structure of the crane can be used safely.
Design of cable pipeline fault location device based on dynamic laser scanning
Authors: Li Zhongxing , Zhang Caihong , Huang Guojian , Ma Haixia 
Published: November 2022

Abstract
Aiming at the problem that some of the spare power cable pipelines without cable are damaged, and there is no effective detection equipment to detect the blocked state of the pipeline. This paper proposed a dynamic laser scanning method for obstacles in the pipeline, and designed a power pipeline fault positioning device. The infrared laser ranging technology based on time-of-flight is used to dynamically detect the distance between obstacles in the pipeline and the laser sensor, so as to detect the status and location of pipeline blockage. Taking ARM microcontroller as the core, equipped with VL53L0X laser module, the hardware design of the device was completed, and the software program was completed based on the Keil μVision5 IDE environment. The measurement and error analysis of obstacles of two different materials are carried out. The results show that the longer the measurement distance, the larger the error, and the highest measurement error is 1.47%, which fully meets the needs of engineering measurement.
Online Quartz Crystal Microbalance Analyzing Device of Mass Concentration of Formaldehyde Gas Based On FPGA
Authors: Chen Gangxin , Qiu Jian , Peng Li , Han Peng , Luo Kaiqing , Liu Dongmei 
Published: November 2022

Abstract
As one of the main indoor gas pollutants, formaldehyde gas (HCHO) seriously threatens human health and ranks second among toxic chemicals in China. In order to monitor the concentration of formaldehyde in the environment in real time, an online Quartz Crystal Microbalance (QCM) analyzing device based on FPGA is developed in this paper. This device is composed of QCM sensor module and FPGA signal processor. Firstly, graphene oxide film is prepared on QCM chip to adsorb formaldehyde, which causes the change of resonance frequency. Secondly, to monitor the quality of adsorbed formaldehyde through frequency change, FPGA signal processor is mainly integrated with Direct Digital Synthesis module, Analogue-to-Digital Conversion module, Low-Pass Filter module and Frequency Domain Analysis module. These modules have the characteristics of high speed, low power consumption and parallel processing, which provide the best solution for the online implementation of the analyzing device. Finally, the standard gas experiment shows that the device is feasible and reliable for the analysis of formaldehyde gas mass concentration, with a resolution of about 10 counts per 1% concentration.
Low temperature characteristics of FBG with free arc shape for low temperature monitoring
Authors: Lu Huanlang , Zhang Shuai , Yao Yunshuai , Yan Yukun , Lin Zecong , Zhu Pingyu 
Published: November 2022

Abstract
It is important to monitor the iced condition for operating wind turbine blades. However, most sensors are difficult to be used in this quite cold and lightweight environment. Although the fiber bragg grating (FBG) is a good candidate for the case. With the change of the temperature, the thermal expansion coefficient and thermo-optical coeffecient of FBG material will affect the accuracy of characteristics of FBG sensor. Aiming at the application of fiber optic sensor in low temperature environment and ultrathin requirement, the low temperature characteristics of FBG sensor with free arc shape package has been studied. The low temperature calibration experiments of two packaged FBG samples are tested from -35°C ~20°C in a constant temperature freezer with alcohol tank. The effects of low temperature characteristics of two FBGs packaged with free straight and arc shape tubes are compared. The results show that arc shape can effectively reduce the repeatability error and improve its accuracy due to providing possible low temperature contracting of the optical fibers. Flat arc shape makes it possible to package ultrathin FBG temperature sensor.
Structural Deformation Reconstruction of Polymer Distributed Optical Fiber Sensing Tape Based on Ko Theory
Authors: Cheng Jianming , Lu Huanlang , Xie Fumin , Zhu Pingyu 
Published: November 2022

Abstract
The progress of material technology makes the structural deformation of composites more complex and more difficult to monitor. The distributed optical fiber sensor has a wide monitoring range and can continuously obtain the strain data of the structure in space for structural deformation reconstruction. In this paper, the optical frequency domain reflectometer (OFDR) and distributed optical fiber sensor are used as measurement tools to design the deformation reconstruction experiment of a cantilever beam with constant cross section. Based on the Ko theory, the strain signals collected by the distributed optical fiber sensors are converted into displacement signals, and the deformation reconstruction of the cantilever beam is carried out, and then compared and analyzed with the actual measured values. The experiment verifies the effectiveness of using distributed fiber optic sensors for cantilever beam bending deformation based on Ko theory, which provides a favorable reference for structural health monitoring.
Research on Integrated Control Strategy of Reactive Power and Voltage for Distributed Generation
Authors: Guo Xirong 
Published: November 2022

Abstract
The access of distributed photovoltaic power sources will change the power flow distribution in the distribution network. When the line load is light and the photovoltaic access capacity is large, the distribution network will become a multi-source network, which will cause the reverse flow of the line, increase the line voltage, and affect the power quality of the distribution network. Aiming at this problem, this paper studies the voltage control strategy after photovoltaic grid-connected, and proposes a four-level reactive voltage control strategy to solve the voltage problem when photovoltaic large-scale grid-connected. Finally, the method is verified by an example.
Research on Time Sidelobe Analysis on Pulse Compression Signal
Authors: Wang Bocheng , Chen Xiaolong , Li Yue , Zhou Qinshan , Li Yifan 
Published: November 2022

Abstract
As a measuring instrument, the signal analyzer is widely used in communication, microwave, aviation and other fields. It can not only measure the quality of the input signal, but also quickly demodulate the measured signal to obtain the information contained in the signal. In this paper, a method of pulse compression time sidelobe analysis applied to the signal analyzer is proposed to analyze and test the pulse measurement signal. First, the correlation between the pulse measurement signal and the pulse reference signal is processed by pulse compression. Secondly, the sidelobe suppression analysis is carried out by using the window function method for the reference signal. Finally, according to the pulse compression correlation amplitude results, the main side lobes are separated, and the time side lobes are further analyzed and the corresponding parameters are calculated. The simulation results show that the root mean square error of parameter calculation is less than 5%, which meets the standard of signal analyzer for pulse compression time sidelobe analysis.
Research on BSR evaluation method and positioning technology of battery module based on experimental bench
Authors: Huang Yingling , Zhang Bo , Zhao Kelun 
Published: November 2022

Abstract
A battery module was taken as the research object, and the BSR test of the module was carried out based on the silent vibration table, and the BSR evaluation of the module was realized through the combination of subjective and objective mode. In order to achieve the accurate positioning of the abnormal noise of the module, the frequency point of the abnormal sound is locked based on the relative approach technology, and the playback and confirmation of the abnormal noise of the module is carried out based on the filter playback technology. Finally, acoustic imaging is used to locate the abnormal noise of the module. The research results show that the evaluation of BSR needs to be combined objectively and subjectively, and the rapid identification and location of abnormal noise of battery modules is realized by combining relative approach technology, filter playback technology and acoustic imaging technology.
Reliability evaluation methods for unmanned aircraft systems with multi-rotors
Authors: Cai Ming-Xi , Wu He-Long , Yang Jian-Feng 
Published: November 2022

Abstract
According to the characteristics of unmanned aircraft systems (UASs) with multi-rotors, this paper realizes the reliability evaluation. Referring to the relevant standards and specifications for reliability evaluation of electronic products and communication products, the methods of sampling, test plan, test conditions and index evaluation related to reliability evaluation of Referring to are proposed. Based on the exponential distribution, the reliability index and its calculation method are put forward, and the evaluation method for non-failure data is also studied. The method is applied and the reliability level of UASs with multi-rotors is obtained. This method meets the actual market demand and provides a practical method for UASs reliability evaluation.
Intelligent defect detection for Power Patrol Inspection
Authors: Huang Chuangmian , Lin Riguang , Wu Lihao 
Published: November 2022

Abstract
In this paper, the insulator string images captured by Using unmanned aerial vehicles (UAVs) in the power inspection are taken as the research object. The image processing and deep learning methods are used to label the images, and the self-explosion fault of the identified and segmented insulator strings is identified and located.
In the process of semantic segmentation of insulator string images, the given image data set is enhanced, and images are exchanged with image processing algorithms. Based on SegNet, each pixel in the picture is classified, and then the self-encoding is used for reference, and the image is first encoded and then decoded. The coding layer before the model uses the VGG-16 network to extract smaller pictures, so as to meet the requirements of semantic segmentation, and the decoding layer after the model obtains the classification probability value of each point and classifies each point. The experimental results show that the SegNet algorithm can realize the recognition and segmentation of insulator string images under complex conditions with high accuracy.
In order to realize the identification and location of the self-exploding fault position of the insulator string, the training model can be used to detect the position of the self-exploding insulator in the image. First, the data of target detection is preprocessed, and then the data set transformation method of rotation transformation and image mirroring is used; then the SSD model is selected to identify and locate the self-explosion position of the insulator. The SSD model combines the advantages of the Faster R-CNN model and the YOLO model. It runs faster and has higher detection accuracy, which meets practical applications. The experimental results show that the SSD algorithm is more targeted to the insulator data set, and can improve the speed and accuracy of insulator identification and positioning.
The Application of Deep Learning on Room Temperature Conductivity of Li10GeP2S12 Type Solid State Electrolyte
Authors: Peng Jie , Du Jianwen , Wang Liping 
Published: November 2022

Abstract
Room temperature ionic conductivity of the solid-state electrolyte is the essencial element of the commercialization of solid-state lithium-ion batteries. First-principles method is a good tool as it simulates the atomic level dynamics, and provides accurate insides of the ion moving velocity, path, and the microscopic environment. However, the first-principles method is time and computational resources-consuming. It is usually applied to systems with hundreds of atoms and the simulation time is less than 100 picoseconds. The classical molecular dynamics method applies to systems containing thousands of atoms and the simulation time can reach the scale of nanoseconds. However, it is based on the experimental force-field parameters and can only be applied to limited systems with experimentally-proofed good parameters. The method used in this paper is a combination of the first-principles simulation and classical dynamics. Deep-learning tool Deepmd-kit is used to train the first-principles simulation data of the targeted system into a tailor-made force-field model. The verified model for the specific system will then be used in the classical molecular dynamics simulation. With the first-principles precise and classical efficiency, the molecular dynamics simulation of ion movement at room temperature is achieved. The results of Li10GeP2S12 and Li10SiP2S12 showed good agreement with the experiments.
Factorization Method of the Elliptic Curve
Authors: Zhang Qirui 
Published: November 2022

Abstract
The elliptic curve is an important topic in number theory. In 1987, Lenstra discovered the elliptic-curve factorization method (ECM). [4] Nevertheless, until now, no research can have complete detailed codes in Wolfram Mathematica. This article will state the definition of the elliptic curve, analyze this ECM algorithm, and build a complete code s in Mathematica. Finally, completed factorization for 1820099 by experiment, which can prove that the code can complete ECM, but it may take much time to calculate.
Spectroscopic performance of Ni/4H-SiC and Ti/4H-SiC Schottky barrier diode alpha particle detectors
Authors: Shilpa A. , Singh S. , Narasimha Murty N.V.L. 
Published: November 2022

Abstract
Advancement in the growth of 4H-SiC with low micropipe
densities (∼ 0.11 cm-2) in achieving high pure epitaxial
layers, enabled the development of high-resolution 4H-SiC alpha
particle Schottky radiation detectors for harsh environments. In
particular, the study considers two types of 4H-SiC radiation
detectors having Ni and Ti as Schottky contacts. They are fabricated
by depositing Ni and Ti on 25 μm thick n-type 4H-SiC by
epitaxially growing on 350 μm thick conducting SiC
substrates. Electrical characterization and alpha spectral
measurements performed on Ni/4H-SiC and Ti/4H-SiC SBDs are reported
in this work. The spectral measurements were carried out using
241Am alpha emitting radioactive source. Ni/ 4H-SiC Schottky
detector showed a better spectral response with 22.87 keV FWHM
(∼ 0.416%) at a reverse bias of 150 V for 5.48 MeV alpha
particles while Ti/4H-SiC Schottky detector achieved a resolution of
38.25 keV FWHM (∼ 0.697%) at 170 V reverse bias. This work
presented spectral broadening analysis to understand the various
factors affecting the energy resolution of the detectors. The
extracted charge collection efficiencies (CCEs) are
approximately 99% in both the detectors. In addition, polarization
effects are not noticed in any of the fabricated detectors. The
diffusion length of minority carriers (Lp
) is computed based on
the drift-diffusion model by fitting the CCE curve as a
function of applied bias, and the values are close to 9 μm
and 7 μm for Ni/4H-SiC SBD and Ti/4H-SiC SBD detectors,
respectively. Annealing at 400°C for 5 minutes in N2
ambient resulted in resolution of 23.98 keV FWHM (∼ 0.436%)
for Ni/4H-SiC SBD detector at -170 V and 36.21 keV FWHM (∼
0.661%) for Ti/4H-SiC SBD detector at -150 V. Overall Ni/4H-SiC
SBD detectors showed superior spectral characteristics and superior
resolution when compared to Ti/4H-SiC SBD detectors. However, the
Ti/4H-SiC SBD detector fabricated in this work performed better than
the previously reported work on a similar device structure. Hence,
future work aimed at improving resolution of radiation detectors
could also consider Ti/4H-SiC SBDs along with Ni/4H-SiC SBDs.
Aberration-insensitive twisted wavefront detection using polarization correlation
Authors: Parvin Reajmina , Sarkar Tushar , Kumar Singh Rakesh , Brundavanam Maruthi M 
Published: November 2022

Abstract
We have demonstrated using higher-order Stokes correlations that the retrieved amplitude and phase information of the optical vortex (OV) beam and its orbital angular momentum spectrum when it is propagating through a scattering medium are insensitive to the external aberration from the optical system. A theoretical framework of the proposed technique is described and validated by considering an aberration in the propagation channel by optical system. The usefulness of the technique is demonstrated in the recovery of amplitude and phase information of an OV beam even in presence of aberration. Comparisons between aberrated and non-aberrated cases are discussed to examine and evaluate the performance of the technique.