bluuebunny/crossref_metadata_2025_split huggingface dataset:
A cross-spectral target tracking method based on a hidden Markov model
Authors: Wang Liming , Su Peilin , Huang Di 
Published: January 2023

Abstract
Aiming at the problem of target tracking stability in the case of low signal-to-noise ratio and multi-target cross-motion, this paper combines the hidden Markov model and complementary tracking and proposes a new automatic tracking method. The stability of the new algorithm is proved by theoretical analysis and computer simulation experiments. In the case of low signal-of-noise ratio and multi-target cross-motion, the new algorithm has good performance.
A Dual-Band Shared-Aperture Antenna Array Design
Authors: Ding Kaicheng , Sun Lei , Yu Daqun 
Published: January 2023

Abstract
Aiming at solving the difficult problem of shared-aperture integration of dual-band antenna arrays, the research of P-band/S-band shared-aperture antenna arrays is carried out, focusing on the design of broadband wide-angle scanning, planarization, miniaturization, and low-profile of the two-band shared-aperture antenna arrays. And certain work is carried out for the shared-aperture antennas in terms of the improvement of isolation and suppression of the blocking effect. The simulation results of the antenna model show that this antenna works well and can meet the specification requirements.
A High-Resolution Imaging Method for ISAR Based on Sparse Reconstruction
Authors: Fang Xinxiang , Yang Wenjun , Xie Jie , Hou Yingni , Chen Peng , Kong Ge 
Published: January 2023

Abstract
For the problem of first-order and second-order range migration in ISAR imaging under the condition of wide angle and wide bandwidth, a method for sparse azimuth data is proposed to obtain high-resolution ISAR images. After stretch processing, envelope alignment and residual video phase removal, the sparse recovery algorithm that sparse base is constructed by the Keystone transform is used to achieve range migration correction and the missing range profile reconstruction, and then the second-order phase estimation method based on fractional Fourier transform is used to estimate and compensate the second-order rotational phase. Simulation results show the method can effectively improve the imaging quality.
Research on the adsorption of melamine for Cu(II) and Pb(II)
Authors: Zhang Chaojian , Duan Qianqian , Yang Tianrui , Liu Junsheng 
Published: January 2023

Abstract
Melamine contains three aromatic nitrogen atoms and three free amino groups, which have great adsorption potential for heavy metallic ions in wastewater. The sorption performances of melamine for Cu(II) and Pb(II) ( They are denoted as Cu&Pb) were studied. Some major effects such as adsorption time, original concentration, and temperature on its adsorption performances were studied. The effects confirmed that melamine had true adsorption for Cu&Pb, and higher selectivity for the adsorption of Cu&Pb in a binary blended system. The adsorption amount of Pb(II) on melamine reached 4.91 mg/g at pH 5, adsorption equilibrium time of 12 h, and temperature of 55 °C, while the sorption amount of Cu(II) was only 2.70 mg/g, with a difference of about 1.8 times. The adsorption mechanism shows that the sorption of Cu&Pb on melamine follows the Lagergren quasi-second-order kinetic model. This result indicates that the mixture of Cu&Pb can be separated by stepwise processes from a binary mixed system.
Optimization Analysis of Meshing Worm Drive Structure with Roller Enveloping Ring Surface
Authors: Lui Huan , Huang Geng 
Published: January 2023

Abstract
Based on the meshing theory of the worm drive with the roller enveloping ring surface and the mathematical model of transmission efficiency of transmission mechanism, the mathematical calculation model of transmission efficiency for simultaneous meshing of multiple teeth has been set up; the geometrical parameters of transmission countershaft, the influence of friction parameters on transmission efficiency of transmission pair have been analyzed. The analysis and optimized results are that the transmission efficiency is negatively correlated with friction parameters and with other structural geometric parameters and positively correlated with the center distance in the structural geometric parameters. Thereinto, friction parameters and throat-neck coefficient have a great influence on transmission efficiency, and the roller radius and center distance have little influence on it. After structure optimization, the transmission efficiency is improved by 3.86% compared with before optimization.
Research on the technology rule of high-power laser pretreatment of granite slitting
Authors: Li Can , Liu Lie , Han Lianghua 
Published: January 2023

Abstract
In order to provide new pretreatment damage morphology for TBM rock breaking, the author used a ten-thousand-watt laser beam to perform cutting experiments on granite. Different laser power and cutting speed were set, and the cutting depth, width, rock removal and mass ratio were measured, calculated and analyzed. The experimental results showed that the laser power increased, the depth of cut, width and rock removal increased, and the mass ratio decreased; the cutting speed increased, the depth of cut, width and rock removal decreased, and the mass ratio increased. Under this experimental condition, the cutting effect is better when the laser power is 12kW and the cutting speed is 6mm/s.
Research progress and Prospect of Laser Cladding Technology
Authors: Li Changqi 
Published: January 2023

Abstract
Laser cladding technology is an advanced material surface modification technology, which has the advantages of a small dilution rate, a dense microstructure of the cladding layer, a good combination between coating and substrate, and no pollution of the working environment. The research progress of laser cladding is reviewed from three aspects: background types, basic principles, and research status. In the background category, the preset coating method and synchronous powder feeding method used in laser cladding technology are described. The research status of laser cladding technology is summarized from the aspects of cladding material, performance, and industrial application. Finally, some suggestions are put forward to obtain the cladding layer with no crack and good mechanical properties, and more technologies and laser cladding technology are expected to be combined in the future.
Fusion of remote sensing images based on multi-resolution analysis
Authors: Qi Ji , Yang Haitao , Kong Zhuo 
Published: January 2023

Abstract
A fast and reliable fusion algorithm is the key to the practical application of image fusion technology, so the research of the fast fusion algorithm with a good fusion effect is particularly important. Based on the multi-resolution analysis, this paper discusses the principles of the PCNN fusion algorithm, wavelet transform and Laplace pyramid algorithm, and then performs image fusion experiments. Experimental results show that the fusion effect of the wavelet transform and PCNN algorithm is significantly higher than that of the Laplace pyramid algorithm.
Research on improved character recognition technology of wagon number based on Faster-RCNN
Authors: Zhu Wangrui , Zhong Wei 
Published: January 2023

Abstract
Aiming at the characteristics of wagon number character printing with location features, we propose a wagon number character recognition technique based on the Faster-RCNN algorithm for the output layer to improve the accuracy of recognition by eliminating and filling the misjudged and missed characters in the output layer of image recognition. Using the relative position of each wagon number character to form a relative position matrix, the correct candidate frame is output by calculating the similarity of the relative position matrix of the candidate frame and the standard frame, and the correct wagon number is retrieved by comparing with the wagon number in the database.
Speed Control of Secondary Regulation Heave Compensation Based on Fuzzy PID
Authors: Yan Xuechen , Yan Fei , Zhao Danyao , Li Shizhen 
Published: January 2023

Abstract
Aiming at the problem that the widely used heave compensation technology is difficult to balance the compensation effect and energy consumption, based on the secondary regulation technology, the fuzzy PID control method is selected to design a winch heave compensation system with energy recovery. Firstly, a mathematical model is established and analyze the energy-saving characteristics of the heave compensation system. Then, the swash plate controller and speed outer loop controller are designed, and the simulation is model with the AMESim-MATLAB co-simulation platform. Finally, the simulation results are tested by experiments. And the test result reflects that the compensation efficiency of the compensation is more than 90%, and part of the energy can be recovered. The controller has good control accuracy and stability. The compensation system can effectively compensate for the position deviation caused by waves, thus providing a safety guarantee for offshore operations.
Application of Singular Value Decomposition and Adaptive Noise Cancellation Method in AUV Sonar Pulse
Authors: Deng Leilei , Leng Kaijing 
Published: January 2023

Abstract
The detection signal-to-noise ratio determines the underwater acoustic reconnaissance ability of AUV in complex marine environments. In this paper, the singular value decomposition method and adaptive noise cancellation method are used to improve the signal-to-noise ratio of dual channel sonar signal. The experimental data processing results show that the singular value decomposition method has a stronger noise reduction ability, but the noise reduction effect is greatly affected by the singular value threshold, and the performance of the algorithm is unstable; Although the noise reduction ability of adaptive noise cancellation method is limited, it has strong environmental adaptability and more stable algorithm performance.
A Self-Supervised Bearing Failure Detection Method with STFT and Point-wise CNN Feature Extraction
Authors: Li Xiaoyu , Yang Jie , Shen Hao , Liu Qing 
Published: January 2023

Abstract
As the most important parts, bearings are widely used in many types of mechanical and electronic equipment. Bearing failure often leads to serious consequences. Therefore, the fault detection of bearings is the key to ensuring the safe and reliable operation of equipment. At present, most feature extraction methods are based on signal processing algorithms. However, for some types of bearings, these feature extraction methods may lose some important information. The bearing vibration data is unbalanced data, which may lead to diagnostic errors. A new self-supervised bearing failure detection method with STFT point-wise CNN feature extraction and auto-encoder is proposed in this paper. Firstly, a point-wise CNN extracts the features from the signal after STFT. Then the auto-encoder compresses and reconstructs the features. Finally, the distance between the auto-encoder input and output is used to judge the signal is abnormal or not. The CWRU bearing vibration signal data set is used as test case. We also proposed the distance ratio as an evaluation index in the experiment. The proposed bearing fault detection method in this paper has a lower data requirement and better effect based on the results.
A brief introduction to the typical fuels for SI engine and its future projections
Authors: Teng Fei 
Published: January 2023

Abstract
Spark Ignition (SI) engine has been widely used and developed in the engineering field due to its high performance and safety. At present, the SI engine has received extensive attention from many experts and scholars and has become a research hotspot and focus in the field of heat engines. This paper studies the development status of SI engines from multiple perspectives. The research status of performance and pollutant emissions of commercial SI engines were analyzed by literature search. The numerical simulation principle and application method of the current SI engine were studied, and the emissions of the traditional engine and the SI engine were compared. It was found that the SI engine has irreplaceable advantages in terms of performance and emissions. In addition, this paper also looks forward to the development of the SI engine, and proposes that the future development of the SI engine should focus on improving its performance; the use of clean fuel is also an important research content of the SI engine.
Effect of the ultrasonic phased array on defect detection of HDPE electro-fusion joint
Authors: Li Qiang , Lu Qi , Chen Yingchun , Su Junwei , Yang Jie 
Published: January 2023

Abstract
As a common welding method for polyethylene natural gas pipelines, electro-fusion welding has been widely used. However, defects are easy to occur in the fusion area during the welding. In this paper, high-density polyethylene (HDPE) pipes with different types of electric welding joint defects are processed, and the detection effect of the ultrasonic phased array on joint defects is explored. The results show that: Ultrasonic phased array detection technology is easy to operate and reliable. It can detect three common defects: inadequate socket, cold welding, and scratch of oxide scale. In addition, according to the inspection result chart, the defect type can be accurately judged.
Ultrasonic phased array detection method for butt fusion welding defects of HDPE pipes
Authors: Li Qiang , Chen Yingchun , Tang Yu , Liu Hongyan 
Published: January 2023

Abstract
The welding joint is the weak link of the high-density polyethylene pipeline. The continuous development of ultrasonic phased array technology is expected to replace traditional non-destructive testing methods. In this paper, ultrasonic phased array technology is used to detect the defects of butt fusion welding. The results show that the ultrasonic phased array can distinguish between metallic and non-metallic inclusions, and the inclusion size can be displayed. Besides, insufficient fusion defects have no obvious defect features in the sector scan results. The types of insufficient fusion defects can be judged from the end-face line scan results.
Finite element analysis and simulation of cargo fork dynamics
Authors: Wu Jing 
Published: January 2023

Abstract
The forklift truck, as an industrial transport vehicle, is widely used in stations, workshops, warehouses, ports, and other places. At the same time, with the rapid development of today’s economy and the emergence of express industries, the number of forklifts in China is increasing by the day. At the same time, the accidents caused by forklifts are also increasing. The current research on forklifts mainly focuses on the dynamic and static analysis and structural optimization of the vehicle body and parts, among which there are few studies on a forklift. In order to verify the reliability of the forklift, this paper uses the function of SolidWorks Simulation to conduct finite element analysis on the dynamic characteristics of forklifts and sets the forklift’s mass as 2 tons to increase external irregular vibration. When the damping is 0.7, it is found that the maximum stress is 3333Pa. Based on the completion of the physical modeling, with the help of SolidWorks animation, the load situation of the forklift truck in different scenes is simulated. It is found that within the permissible range of strength, the greater the slope rate, the less the mass of the safe load.
Fault Diagnosis of Rolling Bearing Based on ICEEMDAN and SSA-RVM
Authors: Qin Jian , Fei Taiyong , Qu Zhiguo , Zhang Yinan , Yu Xinyi 
Published: January 2023

Abstract
In order to effectively improve the fault identification rate of correlation vector machine (RVM) in bearing fault model diagnosis and identification, a rolling bearing troubleshooting method improvement-based adaptive white noise complete integrated empirical mode decomposition (ICEEMDAN) and sparrow search algorithm (SSA) optimized correlation vector machine (RVM) is proposed. A rolling bearing troubleshooting method improvement-based adaptive white noise complete integrated empirical mode decomposition (ICEEMDAN) and sparrow search algorithm (SSA) optimized correlation vector machine (RVM) was presented. First, the ICEEMDAN method is used to decompose the raw vibration signal, and the power entropy and the proportion of the power of the intrinsic mode component (IMF) to the total power of the signal are taken as the fault characteristics. Optimization of the width factor and hyperparameters of RVM using SSA algorithm, and the RVM model is built to realize fault Identification of rolling bearings. The test results indicate that the SSA-RVM model has a high fault identification rate and dramatically improves the accuracy of fault diagnosis.
Modeling and Simulation Analysis of Junctionless Transistors with Double Gates
Authors: Ma Liuhong , He Fan , Fu Yifan , Duan Zhiyong , Zhong Yinghui , Hu Mengwen , Fu Yingchun 
Published: January 2023

Abstract
A simple analytical model for the drain current and threshold voltage for junctionless transistors with double gates is presented. This model provides a relatively exact and continuous description of junctionless transistor behaviour in all operating regions. Besides, the influence of different structure parameters such as the channel length, silicon layer thickness, gate oxide thickness, and the doping density on the drain current and threshold voltage is discussed. The analytical model solutions are compared with the numerical results obtained by using the COMSOL Multiphysics simulator. In addition, the influences of the channel length on the sub-threshold swing, threshold voltage, and Drain Induced Barrier Lowing are investigated in the simulation model. Moreover, by adding interface traps to the gate in the model, the effects of interface traps on transferring characteristics and the threshold voltage of junctionless transistor are studied.
The method of navigation performance optimization analysis for high speed monohull ships
Authors: Yang Zhaolong , Zou Zaojian , Wang Xuegang 
Published: January 2023

Abstract
This paper is based on the drag resistance test data of the high-speed monohull model, a mathematical model for comprehensive optimization of the navigation performance of a high-speed monohull taking into account the rapidity, maneuverability, seakeeping and static performance of the ship is constructed. The optimization calculation software based on particle swarm, standard genetic algorithm and growth mechanism genetic algorithm is designed and written. Taking a high-speed monolithic sea-going ship with a displacement of 1500 tons and a large inclination-measuring single propeller as the object of discussion, the comparison of optimization methods, the comprehensive navigation performance of different ship types and the sensitivity analysis of design variables are carried out respectively. It provides a practical approach and an effective and practical scientific method for analysis and evaluation of how to maintain the comprehensive optimal navigation performance of high-speed monohull ships. At the same time, it provides a way to quickly evaluate the comprehensive performance of similar high-speed monolithic ships in the preliminary design stage, and can also obtain the model diagram with the best comprehensive performance through this software or method, which is useful for shortening the preliminary design cycle of the ship and improving the design quality of the ship. It has important reference value.
Performance Study of Two Bearings-only Target Tracking Algorithms
Authors: Zhang Haozheng , Li Xiong , Meng Yu 
Published: January 2023

Abstract
For the bearings-only target tracking for single array, the tracking performance of extended kalman filter algorithm in cartesian coordinates and modified polar coordinates is studied. The result shows that the performance of extended kalman filter algorithm in polar coordinates is more general than that in cartesian coordinates. In addition, the tracking performance of these two algorithms decreases with an increase in azimuth measurement error.
Study on intelligent fuzzy assessment of failure effects for marine power plants
Authors: Guo Xiaojie , Zheng Wei , Ke Zhiwu , Feng Yi , Sun Quqin 
Published: January 2023

Abstract
Due to its advantages like zero carbon dioxide emissions, high power density, and long life cycle, power devices show great application prospects in civil cargo ships and icebreakers. The equipment composition and structure configuration of power plants are complex, with harsh operating conditions, which will yield to increased failure rates and serious security threats. Given that the relative importance relying on precise data, an intelligent assessment method of failure effects based on fuzzy logic is proposed. Marine power plant hierarchy division is descripted, suitable for the failure effect assessment process. The fuzzy sets and fuzzy numbers are used to get the fuzzy evaluations and relative weights. The alpha-level sets of fuzzy risk priority numbers (RPNs) are calculated with the proposed benchmark adjustment search strategy. Meanwhile, using the synthesized alpha-level set and centroid defuzzification, the fuzzy RPNs are defuzzied. The comparative analysis of examples reveals that the suggested assessment method can improve the confidence level of risk prioritization for marine power plants.
Research on Efficiency of New Self-driven Fault Current Limiter Based on the Improved Genetic Algorithm
Authors: Feng Zeming , Wang Rufan , Xie Dongze , Liao Minfu , Duan Xiongying , Ma Hui 
Published: January 2023

Abstract
To study the current limiting characteristics and system efficiency of the new fault short-circuit current limiter, an equivalent geometric model based on the rectangular guide rail, an algorithm analysis model of electromagnetic drive equation and a self-driven process is established. The effect of the geometric size and skin effect of the current limiter on the current limiting characteristics and system efficiency of the current limiter is analyzed. At the same time, the two goals of the initial time of current limiting and system efficiency are considered, and the important parameters of the new fault limiter are optimized by the improved genetic algorithm. The results show that the cross-sectional area of the rectangular guide and the width of the metal slider have a comprehensive effect on the performance. The algorithm model can optimize and analyze the target in a shorter time and a smaller algebra, which provides the theoretical basis and technical support for improving the current limiting characteristics and system efficiency of the new current limiter.
Research on Gear Surface Damage Identification Based on the ResNet Network
Authors: Qin Jiayin , Sun Yibo , Wu Luji 
Published: January 2023

Abstract
Gear damage will directly affect the normal operation of the whole transmission system. Aiming at the problem of gear surface damage recognition, a gear surface damage recognition model based on the improved ResNet-34 network is proposed. Firstly, the most suitable network model is selected by training the official describable textures dataset. Secondly, channel pruning, decomposition of the large convolutional kernel, application of global average pooling and transfer learning operations are performed on the primitive network to reduce the computational and parametric quantities and accelerate the training. Finally, experiments are conducted to compare the training effects of the improved network by introducing different pruning methods and scaling factors to the dataset. The experiments show that for the gear surface image dataset, the Slim Pruning (20% Pruned) method results in a 20.78% reduction in computation, a 21.71% compression in the number of parameters, and a 7.38% reduction in the average time per training epoch at a relative error rate of only 1.17%, thus showing that channel pruning can effectively compress the model within the accuracy error and reduce the training cost.