bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Some Major Types of Coin Sorting Devices
Authors: Zhang Tianrui 
Published: December 2022

Abstract
This paper summarizes and compares several main types of coin sorting devices. Through different processes and principles, the coins of 1 jiao, 5 jiao, and 1 yuan are classified and collected separately. Because of the structural characteristics of coins, they have the advantages of multiple circulation, wear resistance, easy recovery, and so on. Coins play an important role in small denomination currency. These coin sorting devices can realize the rapid and effective classification of a large number of coins, reduce the manual burden, and replace manual sorting, so as to effectively improve the efficiency of coin separation and collection.
Hot-Rolling Planning Based on the Modified Vehicle Routing Problem
Authors: Jin Chenguang 
Published: December 2022

AbstractWith fierce market competition and diversification of customer demand, steel industries are currently facing the challenge of a multi-variety, small-batch, and high-quality production mode. In this study, different constraints, optimization objectives and solving algorithms in hot rolling planning (HRP) are summarized. Considering the particularity of the HRP problem, the vehicle routing problem model was modified, and a corresponding algorithm based on the actual hardness and thickness constraints was designed to solve it. The HRP problem is analysed in detail and solved by Python with an actual production dataset. The developed model has been implemented in a large steel plant, and experimental results show the effectiveness of the proposed model.
Optimized Gait of Climbing Caterpillar Robots in Terms of Enhanced Obstacle-crossing Ability and Stability
Authors: Huang Yuke 
Published: December 2022

Abstract
Modular caterpillar robots moving via locomotion waves play increasingly important roles in completing engineering tasks. Obstacle-crossing ability and stability are their crucial properties. Although the stability examinations in previous studies are similar, there are few unified quantitative approaches to study the obstacle-crossing ability. This study aims to propose proper quantification of the robot’s maximum obstacle-crossing ability, which is meaningful in terms of universality and practicality. This study also aims to design the gait that could enhance the robot’s properties. The enhancement of obstacle-crossing ability is achieved via static optimization, where the quantified obstacle-crossing ability is maximized. The relationship between obstacle size and the optimal wave parameters is obtained. The optimization results of the waves with large numbers of links can be forecast via data analysis, which greatly reduces computational cost. The enhancement of stability is achieved via dynamic optimization, where the moment induced by gravity (i.e., climbing instability) is minimized at every time node. The dynamic gait and the pattern of the moment induced by gravity during each movement unit is obtained. Overall, climbing caterpillar robots moving in the designed gait can make the best use of the wave to surmount obstacles in stable locomotion.
From Vacuum to Magnetism and Bionic: the Adsorption Convertion of the Wall-climbing Robot
Authors: Bi Songhao 
Published: December 2022

Abstract
The wall-climbing robot can be divided into vacuum adsorption wall-climbing robot, magnetic adsorption wall-climbing robot, and bionic adsorption wall-climbing robot according to the adsorption mode. Starting with the zoning methods, this paper studies the development status of wall-climbing robots, analyzes the advantages and disadvantages of its adsorption methods and moving methods, and puts forward the optimization scheme. The classic types of wall-climbing robot are illustrated, like the wheel-type, the crawler-type, and the frame-type, and the application scenarios are also discussed.
Pattern Recognition of sEMG Recordings on Arm Muscles among Different Training Motions
Authors: Lyu Zhijin , Pan Liyang , Huang Qiuzi , Qu Wenyu 
Published: December 2022

Abstract
The paper develops a prediction model based on the surface electromyography (sEMG) signals to recognize the five different arm-related motions. We collect 100 groups of the three-channels signals on Biceps, Triceps, Brachioradialis as the raw data set. Then we extract four features from the data to describe the characteristics of different motions in the data set. In the pre-processing stage, we compare three types of EMD-based filtration methods to denoise signals and choose the most efficient one, then use principle component analysis to reduce the dimension of the data. We use three different methods to classify and predict the processed data for a higher accuracy. The contributions are following: This project successfully automated the pattern recognition of arm-related motions. Moreover, the project generated a valuable data set; Compared performances of EMD, EEMD and CEEMDAN in sEMG signals; Found that FCNN is the most accurate algorithm in this project. Future works include obtain more data from more volunteers to expand the data set.
Structural Dynamics and Vibration
Authors: Wang Chenjiabei , Xu Zhe , Liu Xiaorong 
Published: December 2022

Abstract
Structure design is a mixture of art and science, combining the experienced engineer’s intuitive feeling of statics and material. In the engineering practice, it is not exact enough to design a structure only by considering the constant loading. Time-varying loading such as earth-quake, wind loading, bomb blast loading, vortex should be taken into consideration in the practical engineer problems. If structure is subjected with a time-varying loading, the response is vibration. This article is going to show how to deal with some typical types of vibration such as free vibration analysis of SDOF equation of motion, the undamped free vibration, the damped free vibration and vibration control Further, it will explain structural dynamic responses under the periodic loading, impulsive loading. Air crash, building collapse will be predictable and this will save people’s lives and decreasing economic loss. The methodology of dynamic analysis will be applicated in the real world of structure design.
Analysis of Energy Management for Hybrid Electric Vehicle
Authors: Hu Kai , Zhao Jianyi , Wei Zichao , Liang Haoshen 
Published: December 2022

Abstract
This paper describes the methods of improving the efficiency of the powertrain like the energy management system and the control of a Parallel Hybrid Powertrain, in order to address the growing problem of carbon emissions from vehicles on the earth and protect the environment. These developments and improvements are necessary for vehicles. Then further analyzed the previous developments on the powertrain efficiency improving method, predicted and made the future plan for the next step of research by using the growing trend on the global market on vehicles.
Overview of ship image recognition methods based on computer vision
Authors: Chen Guoming , Liu Qinghua 
Published: December 2022

Abstract
This paper introduces the research background of water traffic problems, analyzes the Marine equipment in the process of shipping the deficiencies, on the basis of introducing the concept of image recognition, computer vision and computer vision image recognition are briefly introduced the development of the status situation, sums up and summarizes the recent years research direction such as neural networks based on machine learning, convolution algorithm, For ship image recognition method, and from static image recognition to the complex environment of image recognition, and machine learning, convolutional neural networks based algorithm was analyzed, and the advantages and disadvantages and applicable environment, finally put forward to build a multilateral participation information fusion detection framework to implement the idea of the safe navigation of the ship.
Safety DV-hop positioning algorithm of underwater acoustic sensor networks based on Nesterov accelerated gradient descent method
Authors: Zeng Qinyi , Zhou Ziyu , Chen Ye , Ji Tian 
Published: December 2022

Abstract
Before sensing and transmitting data, the underwater nodes need to calculate and estimate their location information through anchor nodes with known locations. The ranging-free positioning algorithm DV-hop can be applied to the underwater wireless sensor network in a relatively poor environment, which is not required high positioning accuracy. However, some anchor nodes may be destroyed and utilized to deter unknown nodes’ precise positioning in the underwater confrontation scenario. Therefore, we propose a computationally efficient algorithm for determining the location of sensor nodes in harsh and confrontational underwater environments and resisting non-cooperative network attacks. This algorithm integrates Nesterov accelerated gradient descent (NAG) into the DV-hop positioning algorithm and prunes the data by selecting the measurement inconsistency to get better positioning accuracy and higher security. The simulation experiment confirms that our proposed algorithm has better measurement accuracy in the underwater environment than the existing algorithms.
A Cancelling-Blocking structure for decoupling of microstrip antenna array
Authors: Gao Di , Zhang Wenwu 
Published: December 2022

Abstract
In this work, a cancelling-blocking structure (CBS) for decoupling of microstrip antennas was proposed, which can reduce the coupling between arbitrary elements of a one-dimensional E-plane antenna. Results demonstrate the optimized active VSWR and improved radiation efficiency. The cancelling-type decoupling structure consists of a plurality of electrically small metal sheet arrays printed on the dielectric above the antenna. The blocking-type decoupling structure means that each element uses independent dielectric and ground plane to cut off the coupling current propagation path. Firstly, the decoupling principle of the cancelling-type decoupling structure was deduced, and the decoupling conditions were obtained. Then, the mechanism of the surface wave in the antenna array was qualitatively analyzed, and the applicable conditions of the blocking-type decoupling structure were deduced. To verify the proposed structure, a 1×8 E-plane antenna with the designed CBS was modeled. Simulation results manifested that a mutual coupling reduction of more than 10 dB in 1.2-1.3 GHz was achieved, and the active VSWR was below 2.0 over the range of ±60° scan angle.
A novel Ultra-wideband Wide-angle scanning Dual-polarized antenna with multilayer dielectric
Authors: Zhou Huaimin , Quan Xin , Cao Zhenxin , Xu Zihao 
Published: December 2022

Abstract
In this paper, a dual-polarized planar ultra-wideband modular antenna (PUMA) with wide-scanning angle matching layers is proposed. The multiple dielectric layers and frequency selective surfaces (FSS) are loaded on the dipoles. Each frequency selective surface is etched on the dielectric plate as one wide-angle -matching layer. By applying three wide-angle-matching layers, the wide-scanning angle performance is guaranteed. As for the ultra-wideband performance, a metal cylinder is added to the lower space between adjacent dipoles, and the upper end of the cylinder has a certain distance from the dipole. This forms a “ridge” structure which shift problematic common-mode resonances caused by circulating current out of band. A dual-polarized 256-port array (16×16) is set and simulated. The simulation result indicates that the proposed antenna operating over 4.79GHz -20.15GHz (4.20:1) achieves VSWR<3 while scanning to 60° in E-plane and D-plane, and to 45° in H-plane respectively.
An Ultra-wideband, Low-profile tightly coupled array with inductive windows and split rings
Authors: Quan Xin , Cao Zhenxin 
Published: December 2022

Abstract
A band-enhanced and low-profile tightly coupled array (TCA) with inductive windows (IWs) and split rings (SRs) is proposed in this paper. The IW cell is placed between the antenna plane and ground and consists of four parallel strips which introduces inductance to move the resonance frequency caused by the ground out of the operating band. Moreover, the SR is specially designed to thin the thick wide-angle impedance matching (WAIM) superstrates to reduce the TCA profile height. As a result, the proposed array has a 10:1 impedance bandwidth (0.6-6 GHz) with the active VSWR<3.0 and more than 90% radiation efficiency at broadside. The bandwidth reduces to 8.8:1 (0.7-6.2 GHz) when scanning to ±60° in E/D-plane and ±45° in H-plane, respectively. The profile height of the TCA with IWs and SRs is only 0.077λL with the distance of 0.5λH between the adjacent elements.
Full scale experimental and numerical simulation of outside transformer fire
Authors: Hu Yashan , Yan Bo , Li Yan , Huang Zheng , Wang Decheng , Sun Jinghui 
Published: December 2022

Abstract
To study the real scale transformer fire and fire control process, this paper uses FDS to simulate the transformer fire combustion process and analyzes the data of transformer fire temperature and flow field. Through data analysis, this paper establishes a fire visualization system based on the unity3d engine and uses modeling software to complete the Substation Scene Modeling, the visualization process of fire particles and fire water jet in the whole process of transformer fire occurrence and fighting is realized. The research results are of great significance for substation fire construction and emergency rescue.
Optimization and research of coil based on marine heavy oil electromagnetic heater
Authors: Yang Ziqiang , Zhang Cunxi , Wang Rui 
Published: December 2022

Abstract
Based on the theory of electromagnetic field, the Marine heavy oil electromagnetic induction heater uses the principle of electromagnetic induction to realize the energy conversion and transfer, so as to heat the heavy oil to the inlet temperature to achieve the purpose of heating.By means of electromagnetic induction, eddy currents are generated on the tubing wall under the action of a magnetic field. The wall of the heated oil pipe conducts heat energy to the heavy oil in the pipe. In this heating mode, the coil is directly around the oil supply unit pipeline of the ship for heating, and the heating effect depends on the heating electromagnetic field.Therefore, to study the electromagnetic field and its influencing factors of heavy oil electromagnetic induction heating is the premise of designing heavy oil electromagnetic induction heater.In this paper, the magnetic induction intensity generated by the electromagnetic induction heater with different pitch is analyzed theoretically, and simulated and optimized by COMSOL Multiphysics software.
Development of low power and high voltage RF signal generator
Authors: Wang Man , Zhou Tianhong , Shen Jie 
Published: December 2022

Abstract
Ion confinement technology can be widely used in quantum computation and precision measurement. In ion trapping system, ions are stably trapped in ion trap by the action of external forces.Multi-ion confinement requires the joint action of electric field and magnetic field to make the trapped ions overcome the interaction force between ions and be stably confined in the same specific space. Therefore, the stability of the electric force and the magnetic force determines the stability of ion confinement. Although the electric field and magnetic field provided by traditional commercial instruments is stable, it is not conducive to the miniaturization of the device. According to the previous experiment of ion confinement, we have designed a radio frequency(RF) signal generator that can provide continuous low power and stable high voltage RF electric field for multi-ion confinement system to guarantee the stability of trapped ions in quadrupole linear ion trap, also to improve the tapped ions density.
Research and design of capacitance plug-in assembly manipulator
Authors: Qin Jiangtao , Wang Jirong , Xiao Yihao , Li Jun 
Published: December 2022

Abstract
In order to improve the efficiency of PCB (Printed Circuit Board) capacitor plug-in, reduce labor input and improve the accuracy of plug-in, a capacitor plug-in assembly manipulator was designed. The manipulator was mainly composed of X-axis module, Y-axis module and Z-axis module. The mechanical gripper of Z-axis module could adjust the distance between two mechanical grippers to meet the needs of different capacitance sizes. By adopting double z-axis design, the work efficiency of rectangular coordinate manipulator was improved. The addition of the X-ray axis improved the synchronization of the movement at both ends of the X and enhanced the rigidity of the structure. Siemens PLC S7-200 motion library function controlled manipulator grasp, positioning and plug-in. The efficiency of the plug-in unit was 2.5 s/board, and the manipulator could complete capacitor plug-in efficiently and accurately. The whole system has the advantages of high control accuracy, simple operation, stable operation and low noise, and has important practical significance for enterprises.
Stage division strategy for gas insulation surface discharge based on multi-physical information
Authors: Zhao Ke , Li Yujie , Ma JingTan , Xiao Hanyan , Zhuang Tianxin , Liu Yongfei 
Published: December 2022

Abstract
The internal insulation defects in gas insulated equipment leading to partial discharges will affect the insulation performance of the equipment. Among them, surface discharges are a typical type of partial discharge, which often occurs at basin-type insulators. To realize effective discharge detection and discharge degree determination, a refined discharge stage division strategy for gas-insulated creeping discharge based on multi-physical information is investigated in this study. First, an experimental platform for gas-insulated multi-physical signal detection is established, of which high frequency current transformer (HFCT), silicon photomultiplier (SiPM), ultra-high frequency (UHF) and acoustic emission (AE) sensors are applied to measurement the multi-physical energy releases in the process of creeping discharge. Then an artificial surface discharge defect is developed following the actual surface discharge of basin insulator. Subsequently, the relative optical radiation power, electromagnetic radiation power and ultrasonic radiation power produced in the process of discharge are deduced from the multi-physical information. Meanwhile, the relationships among the three energy releases are carried out for variation of different energy with the applied voltage increases. Finally, development path of multi-physical energy ratio for surface discharge is proposed to evaluate the severity of discharge.
Study on superconductivity of strongly correlated electronic systems by high voltage method
Authors: Cheng Chang 
Published: December 2022

AbstractThe study of condensed matter system with strongly correlated electron characteristics shows that the strongly correlated electron leads the system to have macroscopic quantum characteristics, which has multiple degrees of freedom in practical application and strong coupling relationship between them, resulting in abundant and peculiar quantum phenomena in the system. Nowadays, the research on unconventional superconductors is more and more in-depth, which not only expands the topics and ideas of practical research, but also makes excellent achievements. Therefore, on the basis of understanding the strongly correlated electron system, this paper studies the deep analysis of Fermion superconductor, copper oxide superconductor and iron based superconductor by means of high pressure experiment, so as to provide effective information for better understanding the microscopic mechanism on the basis of mastering the relevant unconventional superconductor refined research methods.
Hopping time estimation algorithm of frequency hopping signal under impulse noise
Authors: Liu Bing , Yu Xinyong , Li Hongguang , Yang Yinsong , Qi Zhipeng 
Published: December 2022

Abstract
Aiming at the hopping time estimation problem of frequency hopping (FH) signals under alpha stable distributed noise, a hopping time estimation algorithm based on time-frequency pattern gradient sequence is proposed in this paper. Firstly, the FH signal model and the alpha stable distribution noise model are established according to the received signals; Secondly the fractional lower order SPWVD (FLOSPWVD) transform is used to suppress the impulse noise in the time frequency pattern, and a clear and reliable time frequency pattern is obtained by using the morphological filtering. Finally, the hopping time estimation of the frequency hopping signal is completed according to the jump of the gradient sequence of the time frequency graph.
Design and application of new power load management system
Authors: Liu Gang , Xiao Xubing , Zhou Zhicheng , Sun Gang , Si Yunqiang 
Published: December 2022

Abstract
In order to improve the load management ability of the new power system, this paper proposes a design scheme of the new power load management system. The design scheme is based on the cloud platform and adopts the micro service and micro application architecture to build applications such as load control customer management, equipment file management, load monitoring, load characteristic analysis, load control scheme formulation, load regulation and implementation, load implementation monitoring, implementation effect analysis, operation management, power safety, early warning monitoring, command and drill, and realize the real-time monitoring and accurate control of load resources on the customer side. The practical application proves the effectiveness of this scheme in improving the management of customer side load resources.
Explore the verification and improvement method of insulation of 10~35kV high voltage switchgear
Authors: Luo Chuansheng 
Published: December 2022

Abstract
In the rapid development of China’s power system, the number of applications of high-voltage switchgear is increasing. Every year, tens of thousands of switchgear are put into the power industry. Since the performance and quality of high-voltage switchgear directly determines the operation efficiency of the system and has a positive impact on the safety production and effective power supply of the power grid system, scholars from all over the world have gradually strengthened the research on the insulation failure of switchgear and conducted verification and analysis based on practical cases. In this paper, based on the understanding of the development status and fault research technology of 10-35kV high voltage switchgear, according to representative insulation accident cases, taking the high voltage switchgear in a certain area as an example to verify and analyze, and finally put forward effective improvement methods.
Research on performance of thermal management system for lithium-ion power battery
Authors: Qiao Hongjiao , Sun Wenfang , Zhang Weizhong , Song Chunlei , Liu Cheng 
Published: December 2022

Abstract
According to battery thermal management system’s design theory, a battery module with thermal management system is designed in this article, and the thermal management system model is simulated. By establishing thermal management system’s simulation model, modular thermal management system’s performance is analyzed.The simulation consequences show that the liquid cooling plate’s outlet temperature is higher than the inlet temperature, so the temperature rise and outlet temperature of the cooling liquid of a single battery module that cools system should be properly controlled. Through the thermal imager experiment, the test consequences are consonant with the simulation analysis’s conclusions.The reliability and accuracy of the simulation analysis is verified by the experiment, and shows the rationality of the design of the thermal management system for power battery.