bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the dynamic characteristics of air-breathing supersonic missiles considering the effects of elasticity and actuator faults
Authors: Wei Zhihua , Ming Chao , Yang Kaiyuan , Yan Suyu 
Published: July 2024

Abstract
The air-breathing supersonic missile has the characteristics of strong nonlinearity, strong coupling, fast time degeneration, and strong uncertainty. With the increasing requirements for missile speed and accuracy, the elasticity and actuator fault of air-breathing supersonic missiles have become a problem that cannot be ignored. In this paper, the longitudinal dynamics model of the elastic air-breathing supersonic missile is established, the influence of the elasticity of the air-breathing supersonic missile on the attitude is analyzed considering the real-time change of fuel mass, and finally, the comprehensive influence of the elasticity of the air-breathing supersonic missile and the actuator failure on the dynamic characteristics of the missile is analyzed, and the research results can provide reference for related research in this field.
Gap distance of UHV substation in areas with an altitude of 5000 m and below
Authors: Yao Xiuyuan , Su Yu , Zhou Songsong , Ding Yujian , Lin Yifan , Jiang Ling , Xie Shijun 
Published: July 2024

Abstract
In view of the increasing energy consumption and power demand, the construction of UHV AC is growing rapidly, and the construction of the project is gradually advancing to higher altitudes. It is urgent to conduct research on typical gap discharge in substations at high altitudes. Combined with the engineering requirements, this paper corrects the test data at an altitude of 0 m according to GB/T 24842 standard through altitude correction and combines the discharge voltage requirements of various typical gaps in substations to obtain the minimum air gap distance in UHV substations at an altitude of 5000 m and below. The calculation results of the two altitude correction methods are compared and analyzed, and the applicability of the two methods is analyzed.
Research on electromagnetism scattered from electricity power supply towers based on orthogonal test designs
Authors: Zong Shiqi , Jiao Chaoqun , Zhang Jiangong , Gan Zheyuan 
Published: July 2024

Abstract
For the protection of transmission towers against electromagnetism interference to peripheral radio radar stations, this paper designs orthogonal tests to investigate the electromagnetism scattered efficiency of UHV transmission towers. The towers were mathematically modeled, and the influence of three main factors, tower spacing, frequency, and number of transmitting pylons, on the electromagnetism scattered is investigated. Each factor corresponds to three levels of study and nine sets of orthogonal tests were designed to greatly simplify the number of simulations. Three-factor analysis of variance was undertaken on test data and demonstrated that frequency was the main factor affecting electromagnetic scattering, with tower spacing being the next most influential and many towers the least influential. With the main and secondary effects in mind, the combination with the most significant effect of interaction effects on electromagnetic scattering was selected as the five towers with frequency 1400 kHz and tower spacing 200 m. The investigated outcomes lay the foundation and supply instructions for multi-factor analyses of electromagnetic scattering.
Optimal design of electromagnetic repulsion mechanism based on hybrid infill criterion and kriging surrogate model
Authors: Xie Haixin , Miao Xiren 
Published: July 2024

Abstract
In the optimization design of the electromagnetic repulsion mechanism in finite element simulation, there are problems of high computational cost and long optimization time. To shorten the development cycle of the prototype and improve the efficiency of optimization, an optimization algorithm based on the Hybrid Infill Criterion and Kriging Surrogate Model (HIC-KSM) is proposed by organically combining the Expected Improvement (EI) infill criterion and the Pareto front infill criterion to make full use of the performance of parallel computation and to accelerate the convergence speed of the algorithm. The proposed algorithm is compared with the other optimization algorithms, the optimization results of five multi-objective test functions are compared to verify the efficiency of the proposed algorithm, and the algorithm is applied to the parameter optimization of the electromagnetic repulsion mechanism.
Learning predictive control of wheeled mobile robot with communication delays
Authors: Wu Ruizhuo , Xu Xin , He Ming , Liu Daxue , Zhang Xinglong 
Published: July 2024

Abstract
This paper proposed a learning predictive control method for wheeled mobile robots with communication delays. In consideration of the property in the Networked Control System (NCS), communication delay was divided into two types: delay from sensor to controller and delay from controller to actuator. For each type of delay, state prediction and state augmentation techniques were utilized respectively to diminish their passive impact on the control of WMR. Then receding horizon reinforcement learning approach was adopted to learn the optimal policy based on the delay compensation. Finally, simulations were performed applying the proposed method to the trajectory tracking of WMR and showed the validity of the proposed scheme.
Design of a textile storage environment fire detection system based on ZigBee and NB-IoT
Authors: Lin Jun , Xu Xiaobin 
Published: July 2024

Abstract
A fire monitoring and early warning system based on Zigbee and NB-IoT (Narrow Band Internet of Things) has been designed for fire prevention in textile storage environments. The NB-IoT architecture is used for fire monitoring and early warning system systems. Zigbee terminal equipment is used as a node to collect environmental data and process data through the fog sensor MQ-5. The data is uploaded to cloud servers through NB-IoT technology to achieve remote fire monitoring and early warning. The experimental results show that the detection system can obtain real-time and accurate information in the storage environment. The detection system can achieve monitoring and early warning functions. In order to improve security, the warehouse is set up with five different detection positions. The detection system can, to some extent, reduce the probability of fire occurrence.
Integral global fast terminal sliding mode control for LLC converters
Authors: Lu Jinzhi 
Published: July 2024

Abstract
The complex characteristics of full-bridge LLC converters and PFM mode of operation result in a variety of operating modes and characteristic changes at different operating frequencies, thus increasing the difficulties in small signal characteristic analysis and good compensator design. In terms of control strategy, the traditional linear controller has limited response performance under various operating conditions such as input voltage ripple perturbation, input voltage mutation, and load mutation. To obtain greater transient response performance, stronger disturbance capability, and higher input stability of the system under different operating conditions, this paper proposes a new integral global sliding mode control law for LLC converters. In contrast to conventional control methods, the proposed control strategy exhibits enhanced dynamic response capabilities in the presence of load variations. It effectively mitigates jitter issues during steady-state operation, demonstrating a superior control performance.
Directional motion behavior of metallic conductive particles in GIS
Authors: You Yi , Yang Zhushi , Zhao Puzhi , He Cheng 
Published: July 2024

Abstract
Currently, metallic conductive particles constitute a significant risk to GIS insulation, and the motion of the particle is the direct cause of GIS insulation failure. The motion characteristic of particles is the key to conducting the study about the mechanism of particle-induced GIS insulation failure and the technology of particle suppression. However, current research lacks an analysis of the axial motion of particles, which should not be ignored. In this paper, the intensity and direction of the axial Coulomb force in the vicinity of the basin insulator are analyzed. Based on this, the relationship between the polarity of the charge on particles and the axial Coulomb force with time under AC voltage is analyzed. The research results show that the axial Coulomb forces on the outwardly and inwardly curved surfaces of the basin insulator have opposite directions so that they can propel the particles in the direction of the outwardly curved surface. Finally, the verification experiment conducted on the 252 kV GIS can also prove that particles indeed have the trend of directional motion under AC voltage, and multiple particles will eventually gather on the outwardly curved surface side. The research provides theoretical support for the motion of metallic particles and the particle suppression technology in GIS.
Coordinated control system of driving equipment
Authors: Cheng Fengxia 
Published: July 2024

Abstract
This paper introduces the composition of complete sets of driving equipment, including driving equipment, anchoring and breaking equipment, transportation equipment, and the control principle of the linkage of driving equipment, anchoring and breaking equipment, and transportation equipment, puts forward the hardware system composition of each sub-equipment, and redundant design has been carried out for communication between devices, with wired as the main and wireless as the auxiliary. The application shows that based on the dual communication network, the collaborative linkage control of the complete set of mining equipment has achieved good results, achieving coordinated control of equipment walking, starting and stopping, and improving the excavation speed of the tunnel. Its successful application has accumulated valuable experience for achieving unmanned control of excavation face equipment.
Research on prediction model of quantitative relationship of pressure attenuation of hydrogen fuel cell air compressor based on artificial neural network
Authors: Liu Qi , Han Yubo , Liu Zhen , Yuan Shuo , Liu Jianxiong 
Published: July 2024

Abstract
This thesis considers the field of the pressure attenuation of hydrogen fuel cell air compressors as the main subject of its study. Traditional methods usually model the prediction of pressure attenuation based on a durability test or physical model, which is costly and time-consuming. Based on the method of artificial neural network (ANN), this paper establishes a prediction model of the quantitative relationship of outlet pressure attenuation of hydrogen fuel cell air compressors. A neural network is used to capture the nonlinear relationship of outlet pressure of air compressors, and the prediction results of the model are analyzed and explained to explore the attenuation process of outlet pressure of hydrogen fuel cell air compressors. The comparison between the actual test data and the predicted data through the endurance test of the air compressor shows that the prediction ability of the model is good, and the correlation of the regression analysis results of the prediction model is above 0.99, which can be used to predict the quantitative relationship of outlet pressure attenuation of hydrogen fuel cell air compressor.
Intelligent analysis method of power grid monitoring signals based on affinity propagation clustering
Authors: Pei Zhen , Gao Xuebing 
Published: July 2024

Abstract
As the scale of the power grid continues to expand, power supply companies centralize the management of grid monitoring signals at substations to adapt to the actual development of the power grid and improve the performance of grid operation. However, this leads to problems such as too many invalid signals, unidentified signal classification, excessive signal volume, and too many interfering signals at the monitoring site on a daily basis, which leads to difficulties in monitoring and certain security risks. Addressing this problem, this paper introduces a method of spatialization of text data using unique thermal coding and intelligent analysis of monitoring signals using AP clustering. The affinity propagation clustering algorithm can classify the monitoring signals faster and more accurately, count the number of signals, and deeply excavate the intelligent information implied therein. This greatly enhances the stability and safety of power grid operation. The proposed method is validated by the actual monitoring signal data.
Modelling remote barrier detection to achieve free-flowing river targets
Authors: Parks Millicent V , Garcia de Leaniz Carlos , Jones Peter E , Jones Josh 
Published: July 2024

Abstract
Fragmentation caused by artificial barriers is one of the main stressors of rivers worldwide. However, many barrier inventories only record large barriers, which underestimates barrier numbers, and hence fragmentation. Corrected barrier numbers can be obtained via river walkovers, but these are costly and time consuming. We assessed the performance of remote sensing as an alternative to river walkovers for barrier discovery by comparing the number and location of barriers detected in the field with those detected using Google Earth imagery. Only 56% of known barriers could be detected remotely, but machine learning models predicted the likelihood of remote detection with 62%–65% accuracy. Barriers located downstream were twice as likely to be detected remotely than those in the headwaters, the probability of detection diminishing by 3%–4% for every decrease in Strahler stream order and for every 10 km increase in distance from the river mouth. Barriers located in forested reaches were 35% less likely to be detected than those in open reaches. Observer skills also affected the ability to locate barriers remotely and detection rate varied by 11% between experienced and less experienced observers, suggesting that training might improve barrier detection. Our findings have implications for estimates of river fragmentation because they show that the most under-represented structures in barrier inventories, i.e. small barriers located in forested headwaters, are unlikely to be detected remotely. Although remote sensing cannot fully replace ‘boots on the ground’ field surveys for filling barrier data gaps, it can reduce the field work necessary to improve barrier inventories and help inform optimal strategies for barrier removal under data-poor scenarios.
Green finance and grey air: Assessing the impact of green finance pilot zones on company-level pollution in China
Authors: Luo Chen , Lyu Huaiqian , Wen Tianzuo , Qiang Will W , Lee Harry F 
Published: July 2024

Abstract
In 2017, China introduced the Pilot Zones for Green Finance Reform and Innovations to achieve sustainable and high-quality economic growth. While this policy aims to promote the green transition of businesses and has drawn significant attention, its micro-operational mechanism and firm-level impact remain largely unexplored. This study addresses this research gap by employing a quasi-experimental approach to examine the policy’s effects on companies. The empirical results of our research highlight an unexpected 5.54% surge in the PM2.5 concentration levels in the vicinity of these firms. Given these findings, we call on policymakers to reflect on the environmental consequences following the roll-out of the Green Finance Reform. Simultaneously, we stress the significance of corporate responsibility in disclosing pertinent indicators and environmental data.
Volatile organic compounds in exhaled breath: a promising approach for accurate differentiation of lung adenocarcinoma and squamous cell carcinoma
Authors: Li Xian , Shi Lin , Long Yijing , Wang Chunyan , Qian Cheng , Li Wenwen , Tian Yonghui , Duan Yixiang 
Published: July 2024

Abstract
Lung cancer subtyping, particularly differentiating adenocarcinoma (ADC) from squamous cell carcinoma (SCC), is paramount for clinicians to develop effective treatment strategies. In this study, we aimed: (i) to discover volatile organic compound (VOC) biomarkers for precise diagnosis of ADC and SCC, (ii) to investigated the impact of risk factors on ADC and SCC prediction, and (iii) to explore the metabolic pathways of VOC biomarkers. Exhaled breath samples from patients with ADC (n = 149) and SCC (n = 94) were analyzed by gas chromatography-mass spectrometry. Both multivariate and univariate statistical analysis method were employed to identify VOC biomarkers. Support vector machine (SVM) prediction models were developed and validated based on these VOC biomarkers. The impact of risk factors on ADC and SCC prediction was investigated. A panel of 13 VOCs was found to differ significantly between ADC and SCC. Utilizing the SVM algorithm, the VOC biomarkers achieved a specificity of 90.48%, a sensitivity of 83.50%, and an area under the curve (AUC) value of 0.958 on the training set. On the validation set, these VOC biomarkers attained a predictive power of 85.71% for sensitivity and 73.08% for specificity, along with an AUC value of 0.875. Clinical risk factors exhibit certain predictive power on ADC and SCC prediction. Integrating these risk factors into the prediction model based on VOC biomarkers can enhance its predictive accuracy. This work indicates that exhaled breath holds the potential to precisely detect ADCs and SCCs. Considering clinical risk factors is essential when differentiating between these two subtypes.
Optical information hiding system with pixel-free expansion visual cryptography
Authors: Liu Ruize , Wu Chengzhe , Ke Changjun , Shi Yishi 
Published: July 2024

Abstract
We propose an optical information hiding system with pixel-free expansion visual cryptography (PEVC). In the optical concealment process, initially, a PEVC scheme is utilized to encode the secret image. This approach generates visual keys of the same size as the secret image, addressing the pixel expansion issue inherent in visual cryptography encoding schemes. As a result, it significantly reduces both storage space requirements and the network bandwidth occupied during the transmission process and exhibits a higher hidden capacity. Furthermore, PEVC is combined with the optical phase retrieval algorithm for hiding, embedding the visual keys into the phase keys. In this process, wavelength and diffraction distance are introduced as keys, enhancing the security of the system. The phase keys can be fabricated into diffractive optical elements for physical preservation and transmission in tangible form. Simulation experiments and optical experimental results indicate that the system is applicable in practical scenarios and possesses excellent security and exhibits a higher hidden capacity.
Ytterbium-doping effect on the electrochemical and piezoelectric properties of poly(vinylidene fluoride) films
Authors: Perdigon-Lagunes P , Estevez J Octavio , Zorrilla-Cangas M C , Herrera-Becerra R , Chavez-Esquivel G 
Published: July 2024

Abstract
The optimal molar ratio of poly(vinylidene fluoride) (PVDF): dimethyl sulfoxide (DMSO) was investigated that promoted the β-phase formation, used during the PVDF film synthesis. The solution cast method was used for doping the PVDF films with ytterbium (III) nitrate salt hexahydrate. In general, Yb-doping in PVDF films improves thermal resistance, promotes β-phase formation, modifies the monomer conformation, reduces reversibility to electrochemical processes, and increases the d33 coefficient of piezoelectricity. The β-phase formation caused by Yb-doping alters the internal structures of the trans-gauche-trans-gauche’ (TGTG’) and all-trans (TTTT) chains inside the polymeric network. The coexistence between the trans-gauche and all-trans structures provides in both films the α-phase and β-phase coexistence. The presence of self-polarized CH2-CF2 dipoles, where the concentration of fluorine remains the same and the CH2 drastically increases after Yb3+ incorporation. The quasi-reversible shape shown in both voltammetry cyclic curves is related to irreversible oxidation and reduction reactions. Yb-PVDF exhibits specific pseudocapacitance values that are 30% higher than those of the PVDF films. Finally, the piezoelectric properties were improved with ytterbium incorporation.
Investigating mechanical properties of 3D printed porous titanium scaffolds for bone tissue engineering
Authors: Yang Jiajie , Qin Chao , Lu Jianhua , Shi Xiaojian , Shi Kaibing , Cui Yiyun , Xiong Xiaqing , Wan Keming , Shen Meihua 
Published: July 2024

Abstract

Objective. Three-dimensional (3D) printed porous titanium scaffolds serve as a bone tissue engineering technology that offers a promising solution for addressing bone defects. The scaffold’s pore structure offers structural support and facilitates the proliferation of bone cells. Therefore, investigating the aperture and pore shape is of crucial for the development of 3D printed porous titanium scaffolds. Methods. Ti6Al4V scaffolds with the specified structure were fabricated using selective laser melting (SLM) technology. The scaffolds comprised fifteen cylindrical models measuring 20 mm in diameter and 20 mm in height. These models featured five scaffold shapes: imitation diamond-60°, imitation diamond-90°, imitation diamond-120°, regular tetrahedron and regular hexahedron. Each of these structural shapes was characterized by three different aperture sizes (400 μm, 600 μm and 800 μm). The porosity and mechanical properties of Ti6Al4V scaffolds were examined. Results. The measured porosity of Ti6Al4V scaffolds varied between 56.50% and 95.28%. The porosity increased with the size of the aperture. The mechanical properties tests revealed that, for identical apertures, the compressive strength and torsional strength were influenced by the configuration of the unit structure. Furthermore, the positive and lateral compressive strength as well as torsional strength of various unit structures exhibited distinct advantages and disadvantages. Within a uniform unit structure shape, the compressive strength and torsional strength were found to be correlated with the size of apertures, indicating that larger apertures result in decreased compressive and torsional strength. Conclusion. The configuration of the aperture and the shape of the pore were identified as significant factors that influenced the compressive strength. The compressive strength of Ti6Al4V scaffolds with various unit structure shapes exhibited both advantages and disadvantages when subjected to positive, lateral, and torsional forces. The enlarged aperture augmented the scaffold’s porosity while diminishing its compressive and torsional strength.