bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microporous Polyurethane Elastomer’s Comprehensive Properties Affected by Flame Retardant EG/APP
Authors: Wu Xiaoxia , Zhang Xudong , Wu Jingpeng , Li Xiaodong , Su Xing , Zhao Zhiying , Jiang Hao , Zou Meishuai 
Published: December 2023

Abstract
The mechanical characteristics, creep resistance, fatigue resistance, and other comprehensive properties of flame retardants/microporous polyurethane elastomers (FRs/MPUE) have not been systematically researched. Because of this, we used expandable graphite (EG) and ammonium polyphosphate (APP) to conduct this study on FRs/MPUE composites. The thermal degradation and flame retardant characteristics, tensile strength, compressive creep, and dynamic and static stiffness ratio of FRs/MPUE were studied. The findings demonstrated that the optimum synergistic flame retardant effect occurred when the ratio of EG to APP was 2:1. The LOI of MPUE reached 30.5%. The vertical combustion grade achieved V-0. The stage of thermal decomposition was the most stable. However, compared with pure MPUE, the tensile strength was slightly decreased, and the compressive creep and dynamic and static stiffness ratio were slightly increased. The MPUE’s LOI value was more than or equal to 26% when the EG to APP ratio was 2:1 to 1:2. The tensile strength was basically the same as that of pure MPUE. The compression creep was less than 5%, which met the B1 flame retardant requirements and creep resistance performance indicators of floating floor vibration-damping pads.
The influence of impinging distance variable on the effect of submerged jet scour
Authors: Chen Hao , Tang Yang , Li Jinyuan , Zhu Faxin , Teng Xianbin 
Published: December 2023

Abstract
In this paper, the effect of jet holes under different impinging distances was studied by using Flow-3D fluid software. The results show that when the impinging distance of the jet is small, the profile is random. There is a critical impinging distance. At this time, the width and depth of the hole enter a relatively static state, which can be regarded as the key point of the transition stage. After exceeding the critical impinging distance, the depth and width of the hole quickly reach the maximum value; as the impinging distance continues to increase, the hole parameters gradually decrease. The empirical formula of hole parameters changing with impinging distance under specific working conditions is obtained.
Investigation of mechanical responses of underground fortifications at different explosion distances
Authors: Lin Qindong , Feng Chun , Zhang Yulei , Gan Yundan , Yuan Jianfei , Jiao Wenjun 
Published: December 2023

Abstract
The mechanical responses of underground fortifications subjected to blast loading is an important topic related to survival and security ability. Based on a FEM-DEM coupled algorithm, the difference in mechanical responses of underground fortifications subjected to different blast loadings is studied. Firstly, full-time numerical simulations of underground fortifications are conducted. Then, the mechanical characteristics (i.e., displacement and crack) of underground fortifications are analyzed quantitatively. The result indicates that the maximum displacement of underground fortifications gradually reduces from 3.35 m to 1.90 m when the horizontal distance D
H increases, and the rock volume V
C and V
F gradually decrease with the increase of D
H. The crack ratio at the same moment gradually decreases with the increase of D
H, and the spatial distribution of fracture type changes significantly with the increase of D
H.
Fluid-structure Interaction Study on Drag Characteristics of Flexible Ribbon
Authors: Tan Hanlin , Ruan Wenjun 
Published: December 2023

Abstract
The flexible ribbon can be used as a projectile stabilizing device to provide a stable moment for the projectile, and the research on its drag characteristics is of great significance. This paper uses the arbitrary Lagrange-Euler (ALE) method to simulate the fluid-structure interaction process of the ribbon swinging in the airflow. The numerical method is validated by comparing it with wind tunnel experimental results from previous literature. This study utilized numerical simulation to investigate the impact of inflow velocity, ribbon material properties, and ribbon shape on drag characteristics. The research concluded that for a single ribbon, the drag value increases as the incoming flow velocity, ribbon material density, elastic modulus, and length-width ratio increase. In addition, the drag value of the annular ribbon is greater than that of the double ribbon. The drag values of the double ribbon and the annular ribbon are averaged to one side, the unilateral drag of the annular ribbon is greater than that of the single ribbon, and the unilateral drag of the double ribbon is smaller than that of the single ribbon. The conclusions can provide a reference for studying flexible ribbon stabilized projectiles.
Stress and Couple Stress Concentration and Plastic Rotation Analysis of Local Micro-structure of Flat Plate
Authors: Yan Weilin , Liu Zhanfang 
Published: December 2023

Abstract
In classical elasticity, the analytical solution of the stress concentration coefficient at the edge of a circular plate hole is 3, but the experimental result is less than 3, and the fatigue theory still has no theoretical answer to the mechanism of fatigue. For the problem that the stress concentration coefficient is less than 3, the stress and couple stress concentration at the hole edge of a circular plate hole is calculated using generalized elasticity. On this basis, the strain-elastic and rotation-plastic theory is put forward, and an example of a flat wedge structure is used to demonstrate the plastic curvature of the contact boundary of different materials to explain the mechanism of fatigue. Through calculation, it is found that there is a stress concentration at the edge of the hole and a couple of stress concentrations, and the stress concentration coefficient decreases with the decrease of the hole diameter. For flat wedge structures, the plastic curvature is mainly concentrated on the contact surface of different materials, and the plastic curvature will increase obviously when the boundary changes. This paper provides a new idea for the development of fatigue theory.
New Wind and Pressure-resistant Structural Design and Static Simulation Analysis of Continuous Greenhouse
Authors: Chen Shuheng , Wang Yongjiang , Tang Shiyi , Zhao Yinglei , Xu Baoyu , Zhang Chenghao 
Published: December 2023

Abstract
To improve the wind and snow resistance of the continuous round-arch greenhouse skeleton structures, a new wind and pressure-resistant continuous greenhouse with arch spars and diagonal ties is designed in this study. By increasing the number of secondary arches, arch spars, and diagonal ties, and optimizing the traditional spars, this skeleton structure not only improves the snow pressure resistance of arch bars but also enhances the resistance to wind loads. Taking wind load and snow load in the Hangzhou area of Zhejiang province as an example, ANSYS workbench software was used to analyze and calculate the stress and displacement of this shed, and it was found that the maximum stress value could reach 88.641 MPa and the maximum bit amount was 10.316 mm. Compared with the traditional plastic continuous shed, the optimized structure of wind and pressure-resistant continuous shed can effectively reduce the arch displacement and enhance the stability of the structure.
A Class of Parameter Interpolation Iteration Algorithm based on Clem- Equations
Authors: Guo Qiao , Yang Bing 
Published: December 2023

Abstract
The Newdon Iterative method and its deformation mostly require calculating the derivative of nonlinear equations. In practice, many functions are complex, and there are limitations in finding high-order derivatives. This paper fits an existing iterative format by establishing n times interpolated polynomials, n conditions are used to construct a system of linear equations with n equations and n + 1 unknowns, in which the previous n unknowns can be expressed by the n + 1 th unknown by Clem’s rule, to achieve the purpose of reducing the number of derivative calculations. Convergence analysis and numerical examples verify that the algorithm is better than Newdon iteration, and can be better used in path trajectory optimization and fractional time delay control.
Stability Analysis for Vehicular Platooning Subjects to Disturbances
Authors: Lei Hongbo , Zeng Ye , Zhang Min 
Published: December 2023

Abstract
In our work, a control problem of vehicular communications platooning, subject to disturbances, is researched. To eliminate the spacing errors of the platooning, a novel effective non-singular terminal sliding-mode control (TSMC) law is designed for the following vehicles, where the problem of singularity is addressed. Furthermore, a coupled sliding-mode surface is presented for vehicular platooning. Then, based on Lyapunov stability theory, the spacing errors for the platooning can be forced into the designed TSMC surface in finite time and finally reach zero. The string stability of the platooning is also proven via a series of Laplace transforms. Finally, the validity of the proposed law in dealing with disturbances is expressed in simulation results.
Modeling and Analysis of a Large Stroke Tristable Vibratory Energy Harvester
Authors: Huang Haijie , Fan Yanhong , Wang Ze 
Published: December 2023

Abstract
In order to magnify the responding frequency band of the energy collector under lower excitation, this paper constructs a tristable structure using four inclined springs, achieving a larger stroke. On this basis, a tristable electromagnetic energy harvester is proposed. The dynamic formula is solved by the numerical integration method, and the dynamic characteristics and current output characteristics of the system are analyzed. At the same time, for output power, the ratio of stiffness coefficients of the system spring was researched. It was found when the ratio of stiffness coefficients of the spring was 2/3, it would cause the potential energy function curve to be asymmetric. Compared to a symmetric system with a ratio fixed 1 of stiffness coefficients of the spring, the average output power increased by about one tenth. The research results indicate the proposed tristable energy collector can achieve energy collection under low amplitude and low-frequency excitation.
Power Insulator Defect Detection Based on Multi-scale Dense Adaptive Sensing
Authors: Yuan Hanwen , Wang Jingang 
Published: December 2023

Abstract
To solve the problem that the insulator image taken by an unmanned aerial vehicle (UAV) in the process of power inspection cannot be accurately identified, located, and detected, a power insulator defect detection method based on multi-scale dense adaptive sensing is proposed. Firstly, a dense connection architecture based on multi-scale is proposed to improve the feature extraction ability of the algorithm for insulators. Secondly, an adaptive multi-scale weight transfer module is proposed to improve further the perception ability of the algorithm for insulator defect features and input multi-branch feature images. Finally, a multi-branch detection unit is proposed, and the parallel attention structure is used to improve the detection effect of the network on different scale branch insulator images. The experimental results in the existing insulator defect data set show that the proposed network can accurately identify and locate insulator defects, with an average detection accuracy of 95.6%, superior to the comparison algorithm in accuracy and speed.
Power-Impact-Harmonic Characteristics Analysis and Modeling of Diversified Power Loads in Urban Power Grid
Authors: He Mingfeng , Wang Ke , Kong Wei , Ying Yingjun , Chi Yuan , Meng Qinghao 
Published: December 2023

Abstract
Different load models of the same load have different effects on power flow calculation, short circuit calculation, voltage stability, and frequency stability after power system accidents. In this paper, some power load components in urban power grids are modeled by analyzing and fitting the measured power curve of load components, and they are divided into the power model, impact model, and harmonic model according to their characteristics. The power model includes the power models of some household appliances, industrial motors, and arc furnaces. The impact model includes the time series fitting model and probability fitting model. According to the measured power curve of load components, the load model established in this paper can avoid some risks of power calculation caused by the absence of a detailed load model.
Day-ahead economic dispatch of building energy system considering virtual energy storage
Authors: Ren Chunlei , Zhu Xuyang , Qu Yuqian 
Published: December 2023

Abstract
For the increasing proportion of building energy consumption in global energy consumption in recent years, this paper proposes a day-ahead economic dispatching method of building energy systems considering virtual energy storage. Firstly, virtual energy storage is modeled according to the thermal inertia of the building. Then, a building energy system model with a distribution grid, photovoltaic generator sets, and heating equipment (heat pump) is constructed. Finally, a day-ahead economic optimal dispatch of the building energy system considering virtual energy storage is modeled to achieve the charging and discharging management of virtual energy storage. Case study results show that under the precondition for meeting the thermal comfort of the occupants, the daily electric power purchase of the building energy system after considering virtual energy storage is reduced by 278.69 kW. The daily comprehensive operating cost is decreased by 8.3%. The validity and reliability of this suggested approach in this paper are proved.
Two-stage Robust Optimization Scheduling Considering Wind Uncertainty and Multi-area Frequency Dynamic Safety
Authors: Zhang Dan , Xin Xiangyu , Wang Tao 
Published: December 2023

Abstract
The large-scale wind power grid connection exacerbates the problem of uneven distribution of inertia between different regions, posing challenges to the frequency security defense of multi-area systems. This article proposes a two-stage robust optimization scheduling model that considers both the uncertainty of wind power output and the dynamic safety of multi-area frequencies. Firstly, according to the conditional value at risk theory, the operating cost and operating risk of the multi-region system are optimized, and the acceptable safety boundary of wind power is obtained. Secondly, multi-zone frequency dynamic safety verification is carried out in harsh wind power scenarios. Decouple the reserve capacity into non-accident reserve and accident reserve, and nest them separately in a two-stage model to achieve clear solution ideas. Finally, the two-stage optimization problem is solved through the column and constraint generation algorithm. The simulation results of numerical examples show that the model and method can effectively improve the frequency response capability of the multi-region system, so as to ensure the safe and economical operation of the system.
Failure mode analysis and severity measurement method for hydropower equipment
Authors: Zhang Chunhui , Chen Jieyu , Xu Ge , Jiang Shixin , Yi Wanshuang 
Published: December 2023

Abstract
To meet the practical needs of effective failure management and safe operation of hydropower systems, the classification and description standardization of the failure modes are studied based on the statistical analysis of historical maintenance data of in-service hydropower equipment. The method of building the failure mode library is then offered, followed by the specification of failure mode codes. Given the characteristics of the hydropower equipment, a severity rating method and the severity measurement model of failure modes for hydropower equipment are proposed, with definition criteria built using fuzzy semantic techniques. Finally, a thrust bearing system of the hydraulic generator sets is used as an example to validate the method of failure mode analysis and severity measurement, and practical suggestions for implementation of severity measurement are given in this paper.
A high dynamic carrier acquisition and tracking algorithm for space coherent optical communication
Authors: Wang Dizhu , Zuo Jinzhong , Jin Yi , Yang Li , Xu Changzhi 
Published: December 2023

Abstract
In coherent optical communication, the Doppler frequency offset reaches several GHz, which seriously affects the performance of the coherent demodulation system and increases the bit error rate. In this paper, a novel carrier acquisition and tracking algorithm for spatial coherent optical communication is proposed. The algorithm adopts the dual-locked frequency loop that the CPAFC tracking algorithm is effectively combined with the ODAFC tracking algorithm. The CPAFC tracking algorithm can be used for frequency offset gradually change capture and tracking, and the ODAFC tracking algorithm can capture large frequency offset, and according to the locked state control the working state of the two FLL loops. In the condition of stable locked, use only the CPAFC tracking algorithm to capture the gradually changing frequency offset; in the other condition, use two FLL loops together. The experimental results show that the 5Gbps BPSK laser communication performance loss is less than 1.5 dB when the Doppler frequency offset is 2.5 GHz, and the carrier frequency offset change rate is 20 MHz/s.
Object Detection in Aerial Remote Sensing Images with Multi-scale Feature Enhancement
Authors: Zhang Kunpeng , Zhao Ruiqi 
Published: December 2023

Abstract
In target detection of satellite images, the significant differences in target scales can lead to many missed detections and false detections. To address this issue, an object detection algorithm based on improved YOLOv5s is proposed in this paper. Firstly, multiple dilated convolutions with different sampling rates are introduced in the Backbone network to aggrandize the capacity to extract detailed features of targets of different scales. Secondly, an adaptive feature fusion module is introduced based on the feature pyramid structure to fully utilize the characteristic information of different scales, and increase the detection capability of the network. Finally, experiments are carried out on the DIOR data set, and the proposed algorithm is demonstrated to be effective. Compared with traditional YOLOv5s, the proposed algorithm reduces missed detections and false detections and improves the overall accuracy of mAP (mean Average Precision) by 2.8%.
Real-time Sequence Images Registration based on Fast Least Squares Feature Point Tracking
Authors: Hu Yiqun , Chi Longyun , Liu Xuesong , Dong Jing 
Published: December 2023

Abstract
This study addresses the issues of diminished precision and sluggish computational pace observed in current sequence image registration algorithms. A sequence image registration algorithm based on adaptive feature point selection (AFPS) and fast least squares tracking (FLST) is proposed. The corner points are detected by the FAST algorithm. The feature points are selected according to the distribution and intensity of the corner points. The fast least squares tracking technique is employed to compute the displacement of feature points between successive images. The proposed feature point selecting approach and the tracking method substantially increased the efficiency and performance of the registration algorithm. The registration algorithm is evaluated by sequence images taken by drones. The test outcomes demonstrate that, in comparison to existing algorithms, the proposed algorithm significantly enhances both the accuracy and real-time capabilities of sequence image registration.
Naive Bayesian classifier target recognition based on ridge features
Authors: Shi Yuhong , Yue Lei 
Published: December 2023

Abstract
Traditional time-frequency algorithms do not have a high feature recognition rate for targets in a low signal-to-noise background, and the number of operations for classification using plain Bayes is large and slow. To solve the above problems and achieve recognition of different ship echo signals in water, this paper proposes a target recognition method based on time-frequency ridge features by using collected audio data of different ship types, combined with Fourier Simultaneous Compression Transform (abbreviation: FSST), starting from time-frequency features, by extracting the FSST time-frequency ridge and finally using the Hopper Parsimonious Bayes classifier to obtain respectively. The recognition rate of ships under FSST and the recognition rate of ships based on ridge line features are obtained respectively. The final comparison shows that the correct recognition rate of the plain Bayesian classifier using the spine features of the time-frequency map is much higher than that of the conventional FSST time-frequency method, and it also outperforms the FSST in terms of computational power and speed.
Research on Key Technologies of High-Reliability Telemetry Transmitters for Launch Vehicle Carrying
Authors: Zhu Jing , Yan Shuai , Huang Hongjia , Cong Wei , Gong Changhui , Zheng Fanfan , Li Shuo 
Published: December 2023

Abstract
To solve the problem of single-point series components in the internal circuit of the current PCM/FM launch vehicle carrying telemetry transmitter, this paper proposes a new circuit architecture that can eliminate most of the single-point working components of the transmitter without changing the external interface and usage mode, thus improving the reliability of the whole system. This scheme uses large-scale integrated circuits to reduce the number of chips in the transmitter. Two improvements are made in the overall structure of the transmitter. One is to use a zero intermediate frequency (IF) orthogonal up-conversion scheme to replace the traditional high IF superheterodyne scheme, which reduces the number of single-point series components in the circuit. Another is to utilize redundancy design, increasing backup and fault detection channels. According to the development of domestic devices, this paper uses two domestic B9361 radio frequency (RF) conversion chips to realize two ways up-conversion as main and backup channels and two ways down-conversions as fault detection channels. The experimental results show that the new telemetry transmitter based on this scheme can be compatible with the current transmitter and effectively improve the reliability of the whole system.
Marine pasture monitoring system based on edge computing
Authors: Qin JieLi 
Published: December 2023

Abstract
With the continuous optimization and upgrading of Marine development, it is particularly important to build Marine pastures that play a pivotal role in the Marine economy. This study discusses the problems and key technologies faced by the construction of Marine pastures. It uses the underwater Internet of Things technology to propose a smart ocean pasture solution based on edge computing and designs a three-level and six-layer system architecture from top to bottom. Taking the target object of the perception layer, fish, for example, is processed and analyzed from the environmental elements and biological characteristics. The watercolor, species, and quantity are monitored. This realizes the purpose of systematic monitoring and early warning of Marine pasture and provides a technical reference for realizing intelligent ocean engineering with high performance and low power consumption.