bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the Microstructure of SiC Ceramic Joint Bonding by CaO-Al2O3 Glass-ceramic Solder
Authors: Liu Wei , Lu Yongheng , Shao Zongyi , Meng Ying , Shan Tipeng , Sun Liangbo 
Published: August 2023

Abstract
In this paper, 49.77wt.% CaO-50.23wt.% Al2O3 (CA) glass has been designed, fabricated and studied for the joining of SiC ceramics. The thermophysical properties, crystallization kinetics, crystallization behavior of glass solder, and the microstructure of the joint were analyzed and discussed in detail. It is found that the melting point of CA glass solder is 1437 °C, the crystallization activation energy is 274.07 kJ/mol, and the precipitated crystal is 12CaO·7Al2O3. The minimum wetting angle of CA solder on pre-oxidized SiC ceramics is 23°. The joint interface is well combined, and two crystal phases of 2CaO·Al2O3·SiO2 and 12CaO·7Al2O3 are formed in the weld. The typical microstructure of a SiC ceramic joint with CA glass solder is SiC/2CaO·Al2O3·SiO2+12CaO·7Al2O3/SiC at 1550 °C for 10 min.
A Sound Similarity Algorithm Based on Human Intuition
Authors: Xiang Xingyu 
Published: August 2023

Abstract
In this work, we describe some characteristics of human timbre perception. We propose the concept of harmony function to quantify how harmonious two pitches are perceived to be and apply these psychoacoustics theories to build a comparison algorithm. To examine the algorithm, some audio samples are chosen to take the test and get a natural result as expected. As the title suggests, the calculation result of this algorithm is in line with human intuition.
UAV Image Target Recognition Algorithm based on Machine Learning
Authors: Yao Nan , Qin Jianhua , Zhao Yuxi , Wu Gang 
Published: August 2023

Abstract
Target recognition in aerial operation of unmanned aerial vehicle (UAV) has the characteristics of complex environment, easy deformation of moving image target, single target feature and small volume. To solve these problems, different advantages of visual saliency algorithm in time, space and frequency domains are studied. The candidate region of the target is extracted, and the final target is further determined by using region feature extraction and SVM. The recognition results on the test data sets show that the recall rate of the MDVS algorithm used in the study exceeds 99% on both test sets, and the F1 index is also above 85%. After adding SVM classifier for classification and recognition, the precision rate has been significantly improved, and the values of the three indicators have exceeded 90%. The recognition algorithm proposed for UAV images, compared with several common recognition algorithms, is effective and has better recognition effect and robustness.
Bidirectional projection grey target decision-making model based on three-parameter interval grey number
Authors: Xiong Ping , Cheng Huabin 
Published: August 2023

Abstract
Mathematical analysis of existing literature to bidirectional projection decision model to grey target is carried out, and the construction defectiveness of closeness degree and consistency coefficient in bidirectional projection is proved. Further, a new bidirectional projection ranking method is presented, which overcomes the shortcomings of the original one. The new method is applied to decision-making under three-parameter interval grey number (TPIGN) background by building an improved bidirectional projection decision model to grey target. Finally, the advantages of the newly built model are confirmed by a numerical example.
Joint Observation Coding Method Based on the Individual Agent for Centralized Training and Decentralized Execution
Authors: Zhao Liyang , Chang Tianqing , Zhang Jie 
Published: August 2023

Abstract
We investigated the effects of different value function inputs on algorithm performance within the CTDE framework. Furthermore, we proposed an individual-based joint observation coding method that effectively mitigated the impact of excessive value function input dimensions and redundant features on algorithm performance by directing agents to focus more specifically on local observations about other agents that are connected to themselves, rather than relying on global state information provided by the environment. As a result, the overall performance of the algorithm was significantly improved.
Joint Simulation Study of Glass Greenhouse Roof Cleaning Machine Based on Adams and Matlab
Authors: Xu Rui , Wu Mingge , Shen Yunde , Chen Zhenmu , Yin Haiyan , Zou Hantao 
Published: August 2023

Abstract
The glass greenhouse roof cleaning machine is driven by dual motors, and there are problems with machine deflection and inconsistent speed of the two wheels during operation, to solve these problems, a joint simulation method based on Adams and Matlab is used in this project. Firstly, build detailed 3D models using SolidWorks software and Adams software, and set the necessary constraints and material properties for the models; then, the control system is modeled with Fuzzy-Proportion Integration Differentiation (PID) control algorithm in Matlab/Simulink module; finally, a joint simulation was performed using Adams software and Matlab/Simulink software. Through the analysis of the results of the joint simulation, the problem of inconsistent deflection and the two-wheel speed of the machine is optimized after the introduction of the Fuzzy-PID controller.
Research on guidance information extraction technology of strap-down seeker based on adaptive cubature Kalman filter
Authors: Chen Tianle , Zhang Cheng , Sun Tong , Zhang Wenwen 
Published: August 2023

Abstract
In comparison to the traditional platform seeker, strap-down seeker, which is firmly connected with rocket-propelled vehicle, has a lot of strength in a smaller size, a simpler structure, and a lower cost. However, because it is fixed on the rocket-propelled vehicle, inertial line-of-sight(LOS) angular velocity demanded by guidance system could not be directly obtained during the rocket-propelled vehicle flight. In this paper, according to the coordinate transformation relationship, the inertial LOS angular velocity decoupling model is established. Aiming at measurement error characteristics of a seeker, a guidance information extraction algorithm which is on basis of the adaptive cubature Kalman filter is studied, and the digital simulation experiment is carried out in combination with the engineering practice. The simulation data demonstrate that the suggested algorithm has a significant effect on improving the filtering estimation stability and accuracy of guidance information extraction and guaranteeing the accuracy of rocket-propelled vehicle hits.
Design of Real-time Test System for Servo Stabilization System Based on Matlab/xPC
Authors: Hu Jiangfeng , Bai Hao , Ni Longqiang , Mu Yang 
Published: August 2023

Abstract
For the barrel and static drift problem in the working process of the servo-stabilization system of an unmanned firing module, a simulation test system is built by using the Matlab/xPC real-time platform. The CAN communication card is driven by the Simulink S-function, and communication between the test system and the servo stabilization system is realized. The fast Haar wavelet threshold processing method is used to de-noise the gyro speed signal, and the de-noising effect of the signal processor is simulated and verified in the physical system. The results show that the servo stability test system has strong real-time performance, and the performance of the Haar wavelet de-noising algorithm is good. The system has a broad application value.
An Automatic and Objective Vision Screening System Based on EEG Signals
Authors: Fan Chixuan , Han Yishi , Gong Jianyang 
Published: August 2023

Abstract
Vision screening cannot be popularized due to the uneven distribution of medical resources and subjective limitations of traditional detection. This paper proposes an automatic and objective vision screening system, which uses Electroencephalogram (EEG) signals to analyze people’s visual state, avoiding subjective errors. Meanwhile, this system just relies on personal operation without the involvement of medical staff, reducing the cost of time and medical resources. The experimental results show that the classification accuracy of the visual state can be increased to 80%, with the combined use of signal processing, relevant feature extraction, and optimization measures in this system. It indicates that the system is feasible and can play a role in visual screening based on EEG signals in the future.
Gliding Vehicle Controller Based on Neural Network Compensating Dynamic Inversion Error
Authors: Li Siqi , Liu Yongshan 
Published: August 2023

Abstract
Aiming at the attitude control problem of the gliding vehicle with uncertainty and strong coupling, a dynamic inversion control method based on RBF neural network compensated inversion error is discussed. Firstly, based on the double time scale separation hypothesis, the controlled aircraft model is divided into a fast and slow state subsystem. Then the dynamic inversion control laws are designed for each of the two subsystems. The weight update rule of the RBF neural network is derived online based on the Lyapunov stability principle to compensate for the inversion error caused by the modeling error and uncertainty. The simulation verifies the effectiveness of the control law. The robustness of the control system after neural network compensation is significantly improved.
Adaptive Robust Active Vibration Control for Vehicle Seat Suspension with Unknown Passenger Mass
Authors: Liu Tianqi , Ding Haichun , Guo Shuo , Li Feng , Iqbal Azhar , Wu Zhizheng 
Published: August 2023

Abstract
The vibration of the car seat can affect the comfort of passengers and can even cause some health hazards to them. In this paper, a vehicle seat control system is built to reduce the hazards of vehicle seat vibration. Firstly, the dynamic of the vehicle seat suspension is modelled. Then, an adaptive robust vibration control method is introduced: a base controller with an enhanced Youla parameterization is designed to turn it into a global stable controller set, followed by online tuning of the Q-parameters using an adaptive algorithm. The results of the vehicle seat vibration control were simulated in MATLAB/Simulink.
Ship collision avoidance control based on improved velocity obstacle method
Authors: Luo Fangwei , Yang Jie 
Published: August 2023

Abstract
The velocity obstacle method has extensive research in collision avoidance, which uses circles to represent robots or ships to find a collision-free velocity. To better describe the motion characteristics of ships, an improved velocity obstacle method based on elliptical ship domain is proposed in this paper. In the previous research on collision avoidance, the ship domains of the own ship and the target ship are seldom considered at the same time. This paper considers the ship domains of the own ship and the target ship at the same time and judges whether the ship domains of the two ships overlap based on the generalized characteristic polynomial. The heading angle is discretized to construct the velocity obstacle (VO) by calculating the collision velocity at different heading angles. Velocities on the boundaries of the velocity obstacle are used to find an optimal heading angle. The algorithm is tested in different encounter situations and successfully realizes collision avoidance.
Calibration of Heat Distortion and Vicat Softening Temperature Apparatus
Authors: Gong Wei , Zhang Wen , Zeng Lingjian , Ren Tingting , Zeng Cheng 
Published: August 2023

Abstract
Heat distortion and Vicat softening temperature apparatus are mainly used for measuring the thermal deformation temperature and Vicat softening point temperature of non-metallic materials. Parameters such as temperature indication error, heating rate error, deformation indication error, and mass indication error of loaded weights can directly decide the quality of heat distortion and Vicat softening temperature apparatus. There is no relevant calibration specification or method for heat distortion and Vicat softening temperature apparatus in China. This article presents a novel calibration method by determining corresponding environmental conditions, calibration standards, and calculation equations. The calibration results show that the method is scientific and practical for metrological performance evaluation of heat distortion and Vicat softening temperature apparatus.
Optimization of CNC Milling Parameters Based on Tool Life and Process Carbon Emission Prediction Models
Authors: Yi Wangyuan , Yin Ruixue 
Published: August 2023

Abstract
Aiming at the problems of short tool life and high carbon emission in the process of CNC milling, a multi-objective optimization method of process parameters based on the BP neural network and NSGA-II algorithm is proposed. Based on the data sets generated by CNC milling under different process parameters, with tool life and process carbon emissions as outputs and different process parameter combinations as inputs, a BP neural network-based tool life and process carbon emissions prediction model is constructed. Taking the maximum tool life and minimum process carbon emission as the optimization goals, the NSGA-II process parameter multi-objective optimization main model is constructed. The model is then used as the objective function of the main model and optimized to obtain the Pareto optimal solution set. The optimal solution decision is made on the Pareto optimal solution set using the Topsis method, and the optimal process parameter combination is obtained. The optimization results show that the method can accurately predict the tool life and process carbon emission of CNC milling. It can also effectively optimize the process parameters, which provides a new method for the low-carbon optimization of CNC milling parameters.
Fault diagnosis of train control onboard equipment based on Attention-Capsule Network
Authors: Zhao Xin , Zheng Yunshui 
Published: August 2023

AbstractThe onboard equipment of the train is a key component to ensure the safe and efficient operation of the train. Therefore, improving the fault detection ability of onboard equipment is crucial for the safe operation of trains. The driving log record file (AE-LOG) was generated by the CTCS-300T series control system (AE-LOG) as the starting point, and the improved capsule network (CAPSNET) as the research method was studied. By using the capsule network, this model greatly improves the attributes of text characteristics in high-dimensional space and low-dimensional space. At the same time, the routing method of the fusion attention mechanism is used to improve the efficiency of feature selection. Through experimental verification of operating data provided by a certain road bureau, and comparing with traditional models, the accuracy of the model in the control vehicle device fault diagnosis of the control of the vehicle is significantly improved, which shows the effectiveness of the model.
Uninsulated Track Circuit Parameter Adjustment and Ballast Resistance Analysis
Authors: Ma Tengfei , Zheng Yunshui , Xu Jing , Wang Jianfa 
Published: August 2023

Abstract
Uninsulated track circuits are increasingly used in railroad signaling equipment, but the external environment dramatically influences operating conditions. Using the relationship between uninsulated track circuits and ballast resistance, an equivalent four-terminal network model of track circuit transmission characteristics is constructed based on uniform transmission line theory to analyze the influence law of ballast resistance on track surface current. It also makes corresponding adjustments to the track circuit parameters to ensure that the track circuit can work reliably in all four different operating conditions to ensure the safety of railroad transportation.
Intelligent Parameter Identification and Sensorless Control of Permanent Magnet Synchronous Motor
Authors: Chen Tongyue , Liang Tiantian 
Published: August 2023

Abstract
In this paper, a spider monkey optimisation (SMO) algorithm is utilised to identify the parameters of the permanent magnet synchronous motor (PMSM), considering the parameters vary during the motor operation, which affects the sensorless control (SC) performance of the motor. An improved sliding mode observer (SOBS) is proposed for estimating the position and speed of the rotor. First, the SMO algorithm is used to identify the parameters of PMSM. Then, based on the identification results, an improved SOBS is proposed by a piecewise Sigmoid function. Furthermore, the stator position and speed are estimated by extended state observer (ESO) and phase-locked loop (PLL). Finally, a comparison simulation scenario is provided to demonstrate the efficacy of the suggested approach.
Flight state recognition for UAV optical flow velocity measurement
Authors: Gong Yu , Liu Xiaohong 
Published: August 2023

Abstract
For the visual navigation and positioning of drones, the optical flow algorithm is used to calculate the flight speed of the drone, the calculation errors of its rotation state, and the vertical take-off and landing state. Based on the characteristics of its optical flow data, this paper compares various classification calculation methods. It uses the median KNN curve of the optical flow vector to simplify its feature quantity. Finally, it realizes the motion of the UAV with the optical flow characteristics based on the SVM algorithm. State recognition experiments have proved that this method can effectively identify the motion state of the UAV, and the calculation efficiency is high.
A fast tunable driver of light source for the TRIDENT Pathfinder experiment
Authors: Tang J.N. , Wu W.H. , Li L. , Miao P. , Sun Z.Y. , Wang M.X. , Xu D.L. 
Published: August 2023

Abstract
TRIDENT (The tRopIcal DEep-sea Neutrino Telescope) is a
proposed next-generation neutrino telescope to be constructed in the
South China Sea. In September 2021, the TRIDENT Pathfinder
experiment (TRIDENT EXplorer, T-REX for short) was conducted to
evaluate the in-situ optical properties of seawater. The
T-REX experiment deployed three digital optical modules at a depth
of 3420 meters, including a light emitter module (LEM) and two light
receiver modules (LRMs) equipped with photomultiplier tubes (PMTs)
and cameras to detect light signals. The LEM emits light in pulsing
and steady modes. It features a fast tunable driver to activate
light-emitting diodes (LEDs) that emit nanosecond-width light pulses
with tunable intensity. The PMTs in the LRM receive single
photo-electron (SPE) signals with an average photon number of
approximately 0.3 per 1-microsecond time window, which is used to
measure the arrival time distribution of the SPE signals. The fast
tunable driver can be remotely controlled in real-time by the data
acquisition system onboard the research vessel, allowing for
convenient adjustments to the driver's parameters and facilitating
the acquisition of high-quality experimental data. This paper
describes the requirements, design scheme, and test results of the
fast tunable driver, highlighting its successful implementation in
the T-REX experiment and its potential for future deep-sea
experiments.
Exclusion model of mRNA translation with collision-induced ribosome drop-off
Authors: Keisers Johannes , Krug Joachim 
Published: August 2023

Abstract
The translation of messenger RNA transcripts to proteins is commonly modeled as a one-dimensional totally asymmetric exclusion process with extended particles. Here we focus on the effects of premature termination of translation through the irreversible detachment of ribosomes. We consider a model where the detachment is induced by the unsuccessful attempt to move to an occupied site. The model is exactly solvable in a simplified geometry consisting of the translation initiation region followed by a single slow site representing a translation bottleneck. In agreement with recent experimental and computational studies we find a non-monotonic dependence of the ribosome current on the initiation rate, but only if the leading particle in a colliding pair detaches. Simulations show that the effect persists for larger lattices and extended bottlenecks. In the homogeneous system the ribosome density decays asymptotically as the inverse square root of the distance to the initiation site.
Adding integrable defects to the Boussinesq equation
Authors: Corrigan E , Zambon C 
Published: August 2023

Abstract
The purpose of this paper is to extend the store of models able to support integrable defects by investigating the two-dimensional Boussinesq nonlinear wave equation. As has been previously noted in many examples, insisting that a defect contributes to energy and momentum to ensure their conservation, despite the presence of discontinuities and the explicit breaking of translation invariance, leads to sewing conditions relating the two fields and their derivatives on either side of the defect. The manner in which several types of soliton solutions to the Boussinesq equation are affected by the defect is explored and reveals new effects that have not been observed in other integrable systems, such as the possibility of a soliton reflecting from a defect or of a defect decaying into one or two solitons.
The quantum harmonic oscillator with icosahedral symmetry and some explicit wavefunctions
Authors: Dunkl Charles F 
Published: August 2023

Abstract
The Dunkl Laplacian is used to define the Hamiltonian of a modified quantum harmonic oscillator, associated with any finite reflection group. The potential is a sum of the inverse squares of the linear functions whose zero sets are the mirrors of the group’s reflections. The symmetric group version of this is known as the Calogero-Moser model of N identical particles on a line. This paper focuses on the group of symmetries of the regular icosahedron, associated to the root system of type H3. Special wavefunctions are defined by a generating function arising from the vertices of the icosahedron and have the key property of allowing easy calculation of the effect of the Dunkl Laplacian. The ground state is the product of a Gaussian function with powers of linear functions coming from the root system. Two types of wavefunctions are considered, inhomogeneous polynomials with specified top-degree part, and homogeneous harmonic polynomials. The squared norms for both types are explicitly calculated. Symmetrization is applied to produce the invariant polynomials of both types, as well as their squared norms. The action of the angular momentum square on the harmonic homogeneous polynomials is determined. There is also a sixth-order operator commuting with the Hamiltonian and the group action.
Hybrid Koopman
C∗
–formalism and the hybrid quantum–classical master equation
*
Authors: Bouthelier-Madre C , Clemente-Gallardo J , González-Bravo L , Martínez-Crespo D 
Published: August 2023

Abstract
Based on Koopman formalism for classical statistical mechanics, we propose a formalism to define hybrid quantum–classical dynamical systems by defining (outer) automorphisms of the

C
∗

algebra of hybrid operators and realizing them as linear transformations on the space of hybrid states. These hybrid states are represented as density matrices on the Hilbert space obtained from the hybrid

C
∗

–algebra by the GNS construction. We also classify all possible dynamical systems which are unitary and obtain the possible hybrid Hamiltonian operators.