bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on resource comprehensive utilization of granite-type sulfide mine tailings
Authors: Zhang Boai , Zhang Hong , Xu Rui , Wang Li , Tang Honghu 
Published: April 2024

Abstract
In order to recover and utilize mica and quartz from the tailings of a granite-type sulfide ore in Jiangxi Province, the technique of separating mica and quartz from the tailings by flotation without acid was investigated. Pyrite flotation was performed on a 500 g tailing sample to remove pyrite. And the middlings were acquired by desliming of the unfloated products. Finally mica and quartz was separated from the middlings in the mechanical flotation cell. Under conditions of pH=10.3 with a pulp concentration of 35% and a collector concentration of 180 g/t, a yield of 12.89% mica and 42.73% quartz was obtained, with silica grades as high as 71.50% in the quartz. The mica and quartz products can be used in construction ceramics and construction sand, respectively. It is believed that the outcomes of this work could provide ideas for comprehensive utilization of sulfide tailings.
Recycling and detoxification process of waste tire ash via acid leaching and neutralization
Authors: Wajima T 
Published: April 2024

Abstract
The possibility of a novel process of recycling and detoxification for waste tire ash, which contains hazardous Zn and Al, using acid leaching and neutralization was investigated. The waste tire ash mainly contains Zn, Al, Fe, Ca and Si. The leached contents of Zn, Al, and Fe with 1 mol/L of sulphuric acid (H2SO4) and hydrochloric acid (HCl) are almost same and the highest, while those of Ca with HCl is high and with H2SO4 is almost zero due to the formation of gypsum (CaSO4·2H2O). The optimum leaching condition is that waste tire ash was treated with 1 M H2SO4 for 1 h at 60 °C (solid-liquid ratio is 125 g/L). The elution of Zn and Al from the residue via H2SO4 leaching are 0.7 mg/L and 0.15 mg/L, respectively, which are lower than Japanese elution standard (Zn: 1 mg/L, Al: 0.2 mg/L), while those from raw ash are 3.3 mg/L and 1.4 mg/L. Zn-type layered double hydroxide (Zn-LDH) can be synthesized from leached liquor at 40 °C for 1 h by neutralization at pH 7. These results suggested that detoxified ash and environmental friendly material can be obtained from waste tire ash using H2SO4 acid leaching and neutralization.
Fundamental experimental and thermodynamic modelling study in support of the lead battery recycling slag
Authors: Shevchenko Maksym , Shishin Denis , Graf Daniel , Grogan Joseph , Jak Evgueni 
Published: April 2024

Abstract
Antimony, tin, and other higher value metals, as well as elements such as arsenic and lead, can be found in the slags produced during the lead battery recycling process. Gopher Resources operates lead battery recycling furnaces that use sodium slag systems for which there has been less thermodynamic research than more common slag systems. Better thermodynamic information could help improve the process efficiency and control of these furnaces, as well as the recovery of higher value metals. The present study focuses on experimental research and thermodynamic modeling of slags belonging to the Na-Si-Fe-O system, with minor elements including S, Sb, Sn, Pb, and As. Examples of important systems studied extensively for the first time include Fe-Sb-Si-O and Na-Sn-Si-O. Phase equilibria methods are used to determine all the interaction parameters between the impurity metals and the main components of the slag. The experimental methodology involves equilibration, quenching, and electron-probe X-ray microanalysis of the samples. The modified Quasichemical model is used to describe the thermodynamics of the slags. The model also takes into account possible formation of matte/metal/speiss liquids, and numerous solid phases, which is important for understanding of fundamentals operation of various process units.
Valve flow profile optimization based on data mining
Authors: Dong Lijiang , Duan Bingde , Gao Ning , Shen Zhongxin , Li Juan , Xu Hongyan 
Published: April 2024

Abstract
In this paper, a data mining based valve flow curve optimization technique is proposed. Firstly, the data mining technique is described. Then, a valve flow curve optimization method based on improved cluster analysis is proposed. Finally, the effectiveness of these methods was verified through experiments. The results show that the valve flow curve optimization technique based on data mining can effectively improve the performance and reliability of the valve.
Design and development of intelligent unmanned construction system for open-pit mine
Authors: Liu Kui , Mei Bin , Li Qing 
Published: April 2024

Abstract
China’s huge mineral outputs support the national economy and people’s livelihood. However, the mining operation is rough and the safety accident happens frequently. Consequently, the demand for unmanned mining operations is urgent, which is of great significance to safe production. Facing the complex operation scenarios of open-pit mines, an unmanned construction system framework is proposed based on intelligent construction machinery. On this basis, an unmanned excavation subsystem is designed and developed based on the hydraulic excavator, and an unmanned transportation subsystem is designed and developed based on the mining truck. Equipped with advanced sensors and controllers, the unmanned excavation subsystem and the unmanned transportation subsystem possess sensing, decision-making, and control abilities by using AI algorithms. The experiment of the unmanned construction systems is successfully conducted on the open-pit mine test site. This study provides equipment and technical support for improving the intelligent level of mine construction and ensuring safe production for the open-pit mine.
Subpixel corner detection algorithm based on the plane chessboard
Authors: Zhou Changming , Zhong Pengfei , Liu Liang , Liu Tianli , Wang Tao , Wu Jian 
Published: April 2024

Abstract
In this paper, the pixel-level corner position extracted by the Harris algorithm is used as the initial value of sub-pixel corner detection, and then it is used to detect the sub-pixel corner detection. The sub-pixel corner detection algorithm based on the inner product of the gray gradient has weak anti-noise and poor anti-distortion ability, and the sub-pixel corner detection algorithm based on Gauss quadric surface fitting has a high dependence on the initial value. In this case, a quadric fitting based on an iterative search thought algorithm of subpixel corner detection is proposed in this paper. The experiment shows that the improved algorithm has a stronger ability in anti-noise and anti-distortion and low dependence on the initial value. Using this algorithm to calibrate the camera, the re-projection error is smaller and the calibration accuracy is higher.
Swin enhancer: A low-light smart meter image enhancement method with a multi-layered window attention network
Authors: Fang Xiao , Li Baofeng , Su Junchi , Zhai Feng , Qin Yu , Lu Jiansheng , Xiao Chun , Gao Xin 
Published: April 2024

Abstract
Accurate and efficient identification of visual faults in smart meters is significant to the stable operation of the power acquisition system. However, the electricity meter images collected in dim environments have low brightness problems and lack of detail, which will impact subsequent fault identification based on computer vision. From an unsupervised perspective, this paper proposes a low-light smart meter image enhancement method, Swin enhancer. Originating from the Swin Transformer’s window attention mechanism, this paper designs a Multi-layer Swin Transformer Block (MSTB) to extract regional brightness features through the local window’s attention calculation and provide varying degrees of illumination compensation. At the same time, a shift window mechanism is introduced to interact features among the regions and reduce the possibility of overexposure. Extensive experiments on several benchmark and electric meter datasets demonstrate that our method outperforms state-of-the-art methods on multiple image evaluation metrics.
An efficient authentication protocol with privacy-preserving for virtual power plant
Authors: Yao Shuang , Zhu Yayun , Zhang Xiaojuan , Zhang Dahua , Hu Baiji , Liu Ziteng , Cui Yong 
Published: April 2024

Abstract
As an important manifestation of the current development and transformation of the world’s power and energy industries, the virtual power plant is an important foundation for optimizing the layout of energy resources. However, since there are many open channels in the virtual power plant, adversaries can implement eavesdropping, replay, impersonation, forgery, and other attacks to access the virtual power plant, and even publish false data in the virtual power plant to disrupt the operation of the virtual power plant. In addition, it is easy for an adversary to deduce key information such as the layout of virtual power plant equipment through the identity of the device. In this context, to ensure the security and privacy of devices when accessing the platform, in this paper, we propose an efficient authentication protocol based on the elliptic curve cryptography and zero-knowledge proof, which requires only two information exchanges. Security analysis shows that the proposed protocol can meet security features such as mutual authentication, key agreement, perfect forward secrecy, and device anonymity. Performance analysis indicates that the proposed protocol achieves a reasonable balance between computational and signaling overhead, and it is more suitable for achieving efficient device authentication and privacy protection in virtual power plants.
Two-stream neural network with different gradient update strategies
Authors: Zhang Fengjiao , Luo Aoyu , Hao Zongbo , Lu Juncong 
Published: April 2024

Abstract
Deep neural networks will be affected by various noises in different scenes. Traditional deep neural networks often use gradient descent algorithms to update parameter weights. When the gradient falls to a certain range, it is easy to fall into the local optimal solution. Although the impulse method and other methods can escape from local optimization in some scenarios, they still have some limitations, which will greatly reduce the application effect of the actual scenes. To solve the above problems, a two-stream neural network with different gradient update strategies was proposed. Combined with the gradient ascent algorithm, this method alleviated the disadvantage of deep neural networks falling into local optimality and increased the robustness of neural networks to a certain extent. The experimental results on the CIFAR10 dataset verify that the proposed method can improve the accuracy of various gradient descent optimizers by about 1%, such as SGD, Adagrad, RM-Sprop and Adam. The experimental results on the COCO dataset show that the accuracy of the proposed method is also improved compared with the baseline models PAA and EfficientDet. The method proposed can be widely used in various neural network structures and has good practical significance and application prospects.
Radar antenna scanning type identification based on the fusion of multiple temporal features
Authors: Xu Caijin , Tian Shunli , Zhang Xiangrong , Zhang Yifang , Wang Guanchun 
Published: April 2024

Abstract
Identifying the antenna scanning type (AST) of radar signal aims to deeply analyze the parameters of radar waveform and accurately judge the AST of the radar signal. Traditional methods rely heavily on domain priors and expert experience to set classification thresholds, which introduces human errors. Moreover, the generalization and anti-noise interference abilities are relatively weak, and it is difficult to deal with complex battlefield environments. The model based on the convolutional neural network (CNN) is limited by the receptive field of the convolution kernel, which makes the model unable to make full use of the global information of the signal. To fully exploit the global timing characteristics of radar signals, we propose a radar AST recognition method based on the fusion of multiple temporal features. Specifically, for the time series characteristics of the radar antenna scanning signal, a 1D CNN branch is first built to extract its short time series features. Given the limited receptive field of the convolutional network and the inability to fully consider the overall characteristics of the radar signal, we propose a transformer network branch to extract the global timing features fully. The recognition of radar AST based on multi-time series feature fusion can fully model the local and global sequence attributes, thereby improving the cognitive recognition ability of radar signals. Our method attains state-of-the-art results based on experimental findings.
COMSOL-based fatigue simulation of crankshaft
Authors: Zhang Qiang , Wang Daihua , Zhang Kaige , Fang Ziang , Yin Xiaoqing , Liu Jinbao 
Published: April 2024

Abstract
The crankshaft is the most valuable and precise single component of the automobile engine, and the force of the crankshaft is extremely complex. It works under the combined action of periodic changes of gas pressure, reciprocating inertia force, and torque, and bears huge bending and torsional alternating loads. It is of great significance to study the effects of bending, torsional, and compound loads on the strength and fatigue life of crankshaft. In this paper, a crankshaft simulation model is established according to the fatigue reliability theory, the fatigue reliability of the crankshaft is determined, the fatigue life is analyzed, the stress-strain simulation of the crankshaft is carried out by COMSOL, and the fatigue load spectrum and damage cloud map of the crankshaft are obtained. The results show that the structural parameter that has the greatest influence on the stress and deformation of the transition rounded radius. The position corresponds to the place of the crank pin where maximum stress occurs.
Key technologies for airworthiness compliance verification of the solid-state power controller
Authors: Qiu Shengshun , Jiang Qihang 
Published: April 2024

Abstract
Solid-state power distribution technology has advantages such as lightweight, automation, high power quality, and high fault tolerance, which has a very broad prospect. As the core device of solid-state power distribution technology, the application of the solid-state power controller (SSPP) is faced with the challenge that it is difficult to use the traditional compliance verification methods to demonstrate compliance with relevant airworthiness regulations in the application process. Based on the C919 aircraft power distribution system, this article proposed corresponding compliance verification methods, which combine explanation, analysis, and test verification, to confirm and validate the relevant functions, performance, and impact after the failure of SSPC. This may provide a reference for the development of related technologies in the future.
Research and simulation analysis of crack failure mechanism of conductor spacer bar in ±800 kV converter station
Authors: Zhou Yanke , Teng Yulin , Zhou Yanwen , Zhang Zhaoyu , Sun Hebin , Zhao Chaoyou 
Published: April 2024

Abstract
The cracking of the conductor spacer bar in a ±800 kV converter station was detected and simulated to study the cause of failure. By means of penetration detection, fracture macroscopic inspection and metallographic inspection, it can be found that there are some casting defects such as segregation, pinhole and intergranular micro-crack in the chuck microstructure of the spacer bar, and the fatigue fracture occurs under the action of alternating stress. Through the structural simulation analysis, it can be concluded that the spacer rod body and the joint of the chuck have a structural mutation, which causes stress concentration and leads to the fracture of the spacer rod. Finally, suggestions are put forward to improve the design, manufacture and installation process of spacer rods to prevent similar failures from happening again and ensure the safe operation of the power grid.
Design and vibration characteristics of sandwich constrained damping gasket for diaphragm air pump
Authors: Hao Yukai , Chen Wei , Wang Wei , Liu Zhien , Zhang Dashuai , Hu Yongbo 
Published: April 2024

Abstract
There are certain problems of vibration reduction and isolation relevant to the working stability of diaphragm air pumps. To make the diaphragm air pump meet the use requirements, a sandwich-constrained damping gasket is designed and prepared in this paper. The research focuses on examining the impact of varying damping layer thickness on the efficacy of damping gaskets in reducing and isolating vibrations. Meanwhile, with the increase of the damping layer thickness, the total vibration severity of the diaphragm air pump body continues to increase, indicating a weakened performance of vibration reduction, while the vibration isolation performance is gradually improved.
Effects of the cavitation and fluid inertia on the performance in dimpled mechanical seal
Authors: Ma Xuezhong , Cui Yuanzhao 
Published: April 2024

Abstract
To develop a hydrodynamic lubrication model of mechanical seals considering cavitation and fluid inertia and investigate the effects of cavitation and fluid inertia on the sealing performance of a textured mechanical seal, a finite element numerical procedure combined with a Newton-downhill scheme is developed. The numerical model was validated by comparing the results of the Reynolds equation with JFO theory (RE-JFO) and CFD simulation. The effects of fluid inertia and cavitation on the sealing performance are numerically compared and analyzed. Compared with the RE-JFO, the present model gives a better description of cavitation and fluid inertia. The results show that the centrifugal inertia can produce a throttling effect, and thus the leakage rate is reduced. The occurrence of cavitation improves the load-carrying capacity and reduces the coefficient of friction. The textures have a dominant influence on the sealing performance.
Low power consumption and fast response of low dropout regulator design
Authors: Wei Tiantong , Huang Shengming , Wang Siying 
Published: April 2024

Abstract
A low power consumption and fast response low voltage difference linear regulator circuit is designed for on-chip SOC circuit to achieve low power consumption, fast response, and high stability. The internal design mainly includes a low power bandgap reference circuit, a light and heavy load detection circuit, and a transient enhancement circuit. The circuit is designed with 0.35 μm BCD technology, and the layout design is completed. The VIN is from 2.5 V to 5 V, the VOUT from 2.5 V to 3.3 V, and the maximum load is 250 mA. The simulation results show that the static current is 2.6 μA at normal temperature with no load. When the load jumps, the overshoot is 44 mV and the recovery time is 52 μs, meeting the design requirements of low power consumption and fast response.
Research on harmonic power flow calculation of novel urban distribution network considering the switching power supply harmonic and the correlation of impedance-frequency
Authors: Zhong Jun , Zhang Hongzhao , Zhang Huaying , Jin Yang , Dong Kun , Sun Ruichen , Zhao Jianfeng 
Published: April 2024

Abstract
Harmonic power flow calculation is the basis of harmonic analysis, tracing, and treatment. This paper focuses on the harmonic issues associated with the implementation of the “dual-carbon” plan in novel urban distribution networks. Due to the widespread integration of renewable energy generation into urban electrical grids, an increasing number of power electronic devices are being connected to the grid, which has a certain impact on harmonic power flow. Firstly, the harmonic components of 6-pulse and 12-pulse rectifiers are analyzed for the switching power supply model widely used in the distribution network. Secondly, the equivalent parameter models of the generator, the transformer, and the lines are reviewed. Finally, from the perspective of power balance, a harmonic power flow model considering the terminal switching power supplies and the correlation between impedance and frequency is proposed. Simulation verification is conducted to demonstrate the feasibility and accuracy of the proposed method.
Effectiveness evaluation of complex electromechanical system based on improved analytic hierarchy process - entropy weight method - fuzzy synthesis evaluation method
Authors: Yang Zhiyong , Zhang Peng , Sun Zhangzhe , Yu Lingtao 
Published: April 2024

Abstract
At present, complex electromechanical systems are widely used in modern society. By evaluating complex electromechanical systems, it is of great value to improve and upgrade them. Given the complex and interrelated characteristics of performance indicators, this paper establishes the performance evaluation indicator system of a complex electromechanical system, proposes to calculate the weight of each indicator by an improved analytic hierarchy process, revises the indicator weight by entropy weight method, and then adopts fuzzy synthesis evaluation method to evaluate the comprehensive effectiveness of a complex electromechanical system quantitatively. Through the example analysis, it is proved that this method provides an effective way for the effectiveness evaluation of complex electromechanical systems.
Study on power electronic converter electromagnetic interference experiment method
Authors: Liang Bin , Xin Jianguo , Huang Xiaoxi , Zhong Dan , Shi Yien , Zhang Delong 
Published: April 2024

Abstract
Effective measurement is the foundation for predicting and suppressing EMI. This article implements an effective EMI experimental method to conduct conducted EMI testing on high-power three-phase converter power cables. Detailed analysis and discussion are conducted on the experimental instruments, experimental layout, installation details, and other issues during the experimental setup process. The experimental method has improved the EMI testing technology of the converter and has a certain universality, which has practical significance for predicting and analyzing the conducted electromagnetic sensitivity of power electronic equipment.
Interactive technology of high voltage tower acceptance UAV Based on AR and YOLOv7
Authors: Zhang Sijiang , Li Zhengfa , Huang Linke , Zhang Dongsheng 
Published: April 2024

Abstract
To address many shortcomings of the current unmanned aerial vehicle (UAV) inspection mode of the transmission line high-voltage towers and improve the inspection efficiency, the UAV tower foreign matter detection technology based on Augmented Reality (AR) and You Only Look Once: Unified, Real-Time Object Detection (YOLOv7) has been developed. Firstly, the system architecture, including UAV, ground station, and AR glasses is established. Then, the AR scene is built by using the Unity engine, and the interactive control mode between AR glasses and UAV is designed. Subsequently, the mapping mode of head action and UAV command is devised to synchronize the UAV action and head action. Finally, the tower is detected for foreign objects by using YOLOv7 vision detection technology. The experimental results validate the efficacy of the built AR scene, demonstrating seamless functionality in completing the video streaming and attitude data transmission functions. The use of AR glasses can achieve interactive control of the UAV attitude. In addition, the YOLOv7 visual detection algorithm can accurately detect the attachment of foreign objects to the high-voltage tower.