bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calibration and uncertainty analysis of a combined tracking-based vision measurement system using Monte Carlo simulation
Authors: Jiang Tao , Cui Haihua , Cheng Xiaosheng , Du Kunpeng 
Published: March 2021

Abstract
A global stereovision system combined with a local vision sensor is an effective approach to large-scale object measurement. However, obtaining the error distribution of such an approach remains a key research challenge in vision metrological applications. This paper investigates the calibration and the reconstruction uncertainty estimation method of the combined vision system. The measurement principle and the calibration method of the transformation matrix between the tracking-based measurement coordinate systems are presented. Furthermore, Monte Carlo simulation is utilized to determine the reconstruction uncertainty based on the theoretical measurement model and the experiment-based input uncertainty. The overall measurement uncertainty of the combined system is found to be 34.5% higher than that of the global vision system, which is more sensitive to the input pixel uncertainty than the local vision system. However, the combined vision system can achieve comparable measurement results within its larger working volume. This work contributes to a better understanding of the measurement uncertainty in combined tracking-based vision systems, as well as providing a few useful practice guidelines for using such a visual system.
Thermal radiation elimination method for high-temperature digital image correlation using polarization camera
Authors: Wang Huanqing , Zhang Qian , Ge Pengxiang , Zhu Yilei , Wang Yonghong 
Published: March 2021

Abstract
Digital image correlation (DIC) is a material displacement and strain measurement technology based on visible light illumination. At high temperatures, the problem of thermal radiation seriously affects the quality of acquired images and restricts the development of high-temperature DIC technology which is increasingly applied in the field of high-temperature measurement due to stringent measurement temperature requirements. A thermal radiation elimination method based on the use of a polarization camera for high-temperature DIC measurements is proposed in this study. This method uses a polarization camera combined with a filter set to achieve clear image acquisition at 1200 °C and effectively eliminates the effects of thermal radiation on image acquisition. The gray average method and an image inverse filtering algorithm are adopted in this study to eliminate high-temperature thermal disturbances. Finally, a high-temperature DIC measurement system is independently designed, and a rigid-body displacement experiment is carried out on an FV566 steel specimen to obtain time–displacement curves. A set of uniaxial tensile tests is also performed on FV566 steel material to explore its strain field at 1200 °C.
Implication of polymeric template agent on the formation process of hybrid halide perovskite films
Authors: Giuri Antonella , Munir Rahim , Listorti Andrea , Esposito Corcione Carola , Gigli Giuseppe , Rizzo Aurora , Amassian Aram , Colella Silvia 
Published: March 2021

Abstract
The use of polymeric additives supporting the growth of hybrid halide perovskites has proven to be a successful approach aiming at high quality active layers targeting optoelectronic exploitation. A detailed description of the complex process involving the self-assembly of the precursors into the perovskite crystallites in presence of the polymer is, however, still missing. Here we take starch:CH3NH3PbI3 (MAPbI3) as example of highly performing composite, both in solar cells and light emitting diodes, and study the film formation process through differential scanning calorimetry and in situ time-resolved grazing incidence wide-angle x-ray scattering, performed during spin coating. These measurements reveal that starch beneficially influences the nucleation and growth of the perovskite precursor phase, leading to improved structural properties of the resulting film which turns into higher stability towards environmental conditions.
Enhanced acetone sensing properties based on in situ growth SnO2 nanotube arrays
Authors: Cheng Pengfei , Wang Chen , Wang Yinglin , Xu Luping , Dang Fan , Lv Li , Li Xu 
Published: March 2021

Abstract
Large-scale and well-aligned in situ growth SnO2 nanotube (NT) arrays have been synthesized directly on the surface of the Al2O3 ceramic tube by a cost-effective template self-etching method. The morphology of in situ SnO2 NTs can be adjusted by changing the concentration of urea. The structure and morphology characteristics of SnO2 NT were examined via x-ray diffraction, BET, and scanning electron microscopy, respectively. A series of detections were carried out to evaluate the gas sensing performances. The results indicated that in situ growth SnO2 NT arrays sensor exhibited an excellent response (S = 20.3), good linearity under the concentration range of ppm level (5–300 ppm), and outstanding selectivity to 100 ppm of acetone gas. Compared with the sensors fabricated by a slurry-coating method, the controllable in situ assembled SnO2 NT arrays exhibited a more stable structure and easier fabrication process. The high acetone sensing performance might due to the unique hollow structure and favorable orientation growth. The dominant sensing mechanism about the in situ growth SnO2 NT arrays sensor has been discussed in detail. It is expected that in situ growth SnO2 NT arrays sensor with the general working principle and controllable growth strategy will become a promising functional material in monitoring and detecting acetone.
Study on preparation, stability, thermal conductivity, and viscosity of silver nanoparticles-decorated three-dimensional graphene-like porous carbon hybrid nanofluids
Authors: Jin Can , Wu Qibai , Zhang Haiyan , Yang Guoqiang , Yuan Xingxing , Fu Huiqing 
Published: March 2021

Abstract
In the present study, a novel silver nanoparticles-decorated three-dimensional graphene-like porous carbon (Ag/3D GPC) nanocomposite has been synthesized via the method of carbonization and reduction of silver ions at the same time. This Ag/3D GPC nanocomposite possess an interconnected network of well crystalized and submicron-sized macropores with thin graphene walls of several nanometers, where silver nanoparticles distributing uniformly. The water based and ethylene glycol based Ag/3D GPC hybrid nanofluids have been prepared without any surfactant. The hybrid nanofluids with low concentration (<0.8 wt%) can be steadily dispersed for more than six months. The thermal conductivity enhancement for the nanofluids with 0.1 wt% can reach 10.3% and 8.8% at 25 °C compared with pure water and ethylene glycol, respectively. The viscosity of nanofluids is investigated, the temperature dependence of the dynamic viscosity obeys an Arrhenius-like behavior. The prepared Ag/3D GPC hybrid nanofluids with good stability and thermal conductivity are promisingly considered to be used in heat transfer field.
Hybrid liquid-metal heat dissipation structure enabled by phase transition for flexible electronics
Authors: Li Haicheng , Zhang Huilong , Min Seunghwan , Zhou Tao , Gong Shaoqin , Feng Xue , Ma Zhenqiang 
Published: March 2021

Abstract
Flexible electronics incorporating built-in thin-film semiconductors with soft substrates allow devices or systems to conform to desired shapes, creating opportunities for various novel applications. High radio-frequency (RF) power flexible devices play significant roles in flexible wireless communication and other miniaturized microwave systems in the future. However, high power operations of devices generate a massive amount of heat, and if not dissipated effectively, the excessive heat can degrade the performance of flexible active devices and even cause irreversible damage to the systems. In this work, we present a hybrid heat dissipation structure that can be used in flexible electronics where significant heat dissipation is needed. The structure was designed with finite element method-based simulations with the goal of achieving both high heat dissipation efficiency and mechanical flexibility. The structure was fabricated using a phase transition technique, greatly simplifying the fabrication process without need of handling liquid in the fabrication process, and was tested on an ultra-thin flexible AlGaN/GaN high electron mobility transistor (HEMT). The maximum power handled by the heat-managed HEMT measured from the I
DS–V
DS curve was 2.33 times larger than a reference HEMT without the heat dissipation structure. This demonstration opens new prospects for expanding the applications of flexible electronics toward high-power radio frequency regime in the future.
Landau kinetic equation for dry aligning active models
Authors: Patelli Aurelio 
Published: March 2021

Abstract
The Landau equation is a kinetic equation based on the weak coupling approximation of the interaction between the particles. In the framework of dry active matter this new kinetic equation relies on the weak coupling approximation of both the alignment strength and the magnitude of the angular noise, instead of the hypothesis of diluteness. Therefore, it is a kinetic equation bridging between the Boltzmann (Bertin et al 2006 Phys. Rev. E 74 022101), and the Smoluchowski (Baskaran et al 2010 J. Stat. Mech. P04019) approximations, and allowing analytical descriptions at moderate densities. The form of the equation presents non-linear and density dependent diffusions and advections fully derived by the microscopic equations of motions. Finally, implementing the BGL procedure (Peshkov et al 2014 Eur. Phys. J. Spec. Top.
223 1315–44), the parameters of the Toner–Tu equations are derived showing the appearance of linearly stable homogeneous ordered solutions and mimicking the results obtained from the Boltzmann approach.
Review on vibration isolation technology
Authors: Feng Xiong , Yan Li , Chun Wangying 
Published: March 2021

Abstract
Submarine acoustic stealth technology is very important for national defense constructions. vibration isolation technology is the key technology to realize submarine acoustic stealth. In this paper, the development of vibration isolation technologies in recent years is reviewed. The characteristics of several important active and passive vibration isolation technologies and vibration isolators are analyzed in detail. Besides, the latest research directions are discussed. Afterwards, the deficiencies of current intelligent vibration isolation technology and personal views on the development of intelligent vibration isolation technology are presented.
The Design of High Precision Arbitrary Waveform Generator Based on DDS Technology and FPGA
Authors: Ren Li-Min , Xue Xiao , Zheng Yang-Bing 
Published: March 2021

Abstract
Combining with the IP core advantage of FPGA, a signal generator which can generate arbitrary waveform is designed on the basis of direct digital synthesis technology in this paper. The INTEL company’s Cyclone IV series EP4CE6F17C8N is used as the control core and the front-end interface design is carried out by XMAL. The software control operation of the logical processing interface is realized through C#. The signal generator has the characteristics of single cycle waveform with 256 sampling points, clear spectrum analysis, higher purity and high precision. The arbitrary waveform displayed on oscilloscope is wonderful after filtering out high frequency signal by seven order butter worth filter.
Research on Weak Signal Line Spectrum Enhancement Algorithm Based on Correlation Detection
Authors: Huang Chengshun , Zhao Chenglin 
Published: March 2021

Abstract
The correlation detection and adaptive line spectrum enhancement(ALE) algorithm in weak signal detection is presented. Aiming at the problem that the traditional ALE has no obvious effect of line spectrum enhancement at low signal-to-noise ratio(SNR), we propose a modified ALE algorithm based on coherent integrator. Combining this ALE and sliding window correlation, the effect of ALE is clearly improved. The simulation results show that the weak signal receiving ability can be improved by 8 dB under the same line spectrum condition.
Design of a management system of packaged FBG sensor based on RFID for wind turbine blade
Authors: Lin Zhe-Cong , Liu Shuo-Chao , Lu Meng , Zhu Ping-Yu 
Published: March 2021

Abstract
With the application of fiber bragg grating (FBG) sensors in the condition monitoring of wind turbine blades, the layout management of FBG sensors with different central wavelengths and manufacturing processes has attracted much attention. A management system of FBG sensor based on RFID technology is proposed. The management system includes three parts: packaging process of FBG sensor with RFID chip, RFID chip stored information and the FBG sensors status monitoring system, the FBG sensor installation on full scale field wind turbine blade and its maintenance. The proposed management system introduces RFID technology into the blade monitoring using FBG sensor. It provides effective digital management method for the manufacturing, the layout, the installation and the maintenance process of the FBG sensor on the wind turbine blade.
Lightweight Design Of Composite Spinner For Large Wind Turbine
Authors: Liu Zongwei , Wu Wensong , Du Jing , Wang Shuang 
Published: March 2021

Abstract
Taking a 5MW wind turbine spinner as the research object and the lightest quality of the structure as target under the condition of ensuring that the comprehensive performance of the structure meets the design requirements, using the combining method of finite element analysis and multidisciplinary structural optimization, applying hierarchical optimization strategy, the optimal mathematical model were established. The lightweight design scheme of spinner was obtained by optimizing the layout of the stiffener and the laminate parameter. The structure analysis results indicate that the optimized spinner model meets the requirements in terms of comprehensive performance, while the quality is greatly reduced. This provides a method for the lightweight design of the spinner and also provides an idea for the optimization design of large composite shell structure composed of multiple parts.
Obstacle recognition of indoor blind guide robot based on improved D-S evidence theory
Authors: Du Dongqing , Xu Jinyong , Wang Yan 
Published: March 2021

Abstract
The ability to recognize obstacles with high accuracy is an important guarantee for the safe driving of indoor blind guide robots. In order to improve the accuracy of the indoor blind guide robot’s recognition of obstacles, a sensor data fusion method based on D-S evidence theory of the genetic algorithm is proposed. The system uses ultrasonic sensors, infrared sensors, and lidar to collect environmental information. Under the premise of determining the weight range of various sensors, the genetic algorithm is used to optimize each weight and the optimized weight is substituted into D-S evidence theory for data fusion. In application, the determination of the weight of evidence is the key to weighting and fusion of evidence. Through the comparison of the two fusion results, under the same conditions, the method proposed in this paper has an accuracy of 0.94 for the obstacle recognition of the indoor guide robot, which is 33.0% higher than the result of unweighted fusion. The algorithm can also be used for obstacle detection in other systems.
Design of Automobile Engine Fault Diagnosis Instrument Based on STM32 and LabVIEW
Authors: Huang Shuang Cheng , Wei Xinhua 
Published: March 2021

Abstract
The designer designed an engine fault diagnosis instrument with STM32 single chip microcomputer combined with LabVIEW technology for automobile engine failure. The system will use the eddy current sensor to collect the engine vibration signal and send it to the host computer program written by LabVIEW for high-order spectrum analysis. In this way, the working status of the engine can be obtained in real time. Experimental results show that the designed diagnostic instrument is highly efficient and highly reliable. It can meet the real-time diagnosis requirements of engine status.
Research on straightness detection of steel strip edge based on machine vision
Authors: Li Shuiping , Luo Chen Cheng 
Published: March 2021

Abstract
In order to accurately detect the straightness of steel strip edge, a method of minimum containment area evaluation of straightness based on visual measurement scanning discriminant search is proposed. Firstly, opencv is used to preprocess the collected steel strip image, then Canny edge extraction operator is used to extract the steel strip edge, and the steel strip image contour is extracted. Finally, the straightness evaluation method proposed in this paper is used to measure the steel strip straightness. Compared with the measurement results of the two end point connection method and the least square method, the measurement results of the proposed straightness evaluation method are closer to the manual test results, which is conducive to improving the accuracy of steel strip straightness detection.
Research Progress of Exoskeleton for Hand Rehabilitation following stroke
Authors: Li Yu , Gao Xingyu , Liao Bin , Peng Yanhua , Chen Yu Jing 
Published: March 2021

Abstract
Based on the hand rehabilitation exoskeleton, the research results of three driving modes in recent years, namely cable, connecting rod and pneumatic system, were classified, summarized and analyzed. Through research and analysis, the results of structural dimensions, structural degrees of freedom, drive selection scheme, control strategy and sensor selection scheme which are more suitable for human hand rehabilitation exoskeleton are obtained, which can provide reference for exoskeleton researchers.
Research on Coherent Light detection Method Based on Phase Control of Fiber Delay Line
Authors: Zhang Junyu , Jing Xiao , Li Zhiwen , Huang Qingchun 
Published: March 2021

Abstract
With the system modeling and simulation, analyzed the mechanisms of signal transmission and storage, and phase-controlling, and researched the relationship between time-delay and phase-delay. The effect of optical path difference on optical phase-matching is investigated in time domain and frequency domain. The results shows that, the signal power will obtain maximum after coherent mixing when the phase between signal light and reference light is 2nπ(n=0, 1, 2……); the signal power will obtain minimum when it is (2n+1)π(n=0, 1, 2……), and the mixing signal of other phase relationship will vary in this range. And it is proved that the time delay of optical fiber delay line could effectively compensate the phase delay which generated in the transmission and a phase controlling of the signal transmission could be achieved.
Research on on-line ultrasonic testing of small diameter thin wall stainless steel straight welded pipe
Authors: Hou Huaishu , Lu Ding , Zhang Shiwei , Zhang Yi , Cheng Chaolei 
Published: March 2021

Abstract
In the production process of thin-walled stainless steel longitudinal welded pipe, there are many defects, such as cracks, porosity, partial welding, incomplete penetration, incomplete fusion. In this study, a local coupling water tank and six ultrasonic linear focusing probes with a center frequency of 5MHz were used to realize the defect identification of the straight welded pipe in the twisted state through the combined detection of the ultrasonic shear wave, longitudinal wave and creeping wave, which can meet the on-line inspection requirements of small-diameter thin-walled stainless steel straight welded pipe.
Optimization of Tool Path for Surface Machining Based on Accuracy
Authors: He Fang , Tian Meizi , Luo Jihui , He Renqi 
Published: March 2021

Abstract
Surface machining is the key technology in numerical control (NC) machining, and the planning of tool path is the basis and key of NC programming. Based on the improvement of the precision and efficiency of surface machining, this work analyzes the approximation machining error of NC machining of multi-coordinate surface. The tool step and calculation of cutting distance for tool path are discussed. The principle of tool path planning during surface NC machining programming is proposed, and the track verification is carried out with examples.
Fault diagnosis method of rare earth extraction production line based on wavelet packet and alexnet transfer learning
Authors: Li An-Hao , Luo Yi , He Yu-Hua , Cheng Zhe , Wang Teng-Fei , Peng Yan-Hua 
Published: March 2021

Abstract
In rare earth production, improving the fault detection of extraction equipment has a key impact on improving extraction efficiency and product quality. The traditional method is based on the observation of the liquid level, the efficiency and accuracy can’t be guaranteed. In this paper, a fault diagnosis and recognition method for rare earth extraction production line based on wavelet packet and alexnet transfer learning is proposed. Taking six fault states of rare earth extraction production line as the research object, the fault signal is extracted by wavelet packet decomposition, and the corresponding target data set of time-frequency diagram is generated. Then, the pre trained alexnet model is trained and fine tuned on the generated target data set, and finally applied to fault diagnosis of rare earth extraction production line. The results show that the proposed method is more accurate than the traditional convolution neural network, which verifies the effectiveness of the method.
On Sequential-Pattern-Based Intelligent Compilation of Aircraft Assembly Process
Authors: Ouyang Sen-Shan , Song Liang , Liu Xiang-Feng , Chen Chen , Chen Zhen-Yu 
Published: March 2021

Abstract
The aviation industry which aircraft manufacturing dominates is an important sector to measure a nation’s air power. The application of new technologies to optimize the process, increase the speed and upgrade the quality of airplane assembly, a crucial link in its manufacturing, is an effective method to improve the capacity. The combination of traditional processes and emerging technologies greatly improves its efficiency, reduces its labor costs and promotes the innovation and upgrade of traditional technologies. For aircraft manufacturers, the Assembly Outline (AO) refers to an essential document used for the guidance of the assembly process. Low efficiency and under-structuration of compilation, which is also difficult to upgrade, put a limit on the application of information and digitization technologies and has an impact on the overall airplane production cycle, due to present manual work in quantity and imbalance of informationization. Via sequential-pattern-based data mining introduced in this paper, patterns of AO processes are dug up to form a set based on which it is possible to quickly make a recommendation of the optimal process for the compiler, effectively reducing the duration of compilation and modification and improving the efficiency.
Research on Dynamic Performance Simulation of In-wheel Motor Electric Vehicle Based on CarSim-Simulink
Authors: Liu Qiusheng , Xie Dacheng , Hu Shenglong , Wu Jinhua 
Published: March 2021

Abstract
In order to reduce test costs and improve work efficiency, on the basis of the existing in-wheel-motor electric vehicle platform, CarSim software is used to establish a complete in-wheel-motor electric vehicle model that matches the actual vehicle. Based on Simulink, the dynamic model of the in-wheel motor is established. By defining the interface between the vehicle and the motor drive system, a joint simulation platform for in-wheel motor electric vehicles is established based on CarSim-Simulink, and simulation verification is performed on it. The results show that the established simulation model has high accuracy, can better simulate the existing experimental vehicle, accurately reflect the dynamic performance response of the vehicle, and provide a basis for further research and verification of control algorithms.