bluuebunny/crossref_metadata_2025 huggingface dataset:
The Principle and State-of-art Applications for CT Detector
Authors: Qiu Hongrui
Published: December 2022

Contemporarily, significant progress has been made in the development and application of image fusion technology in the field of diagnostic imaging. Image fusion is a fully automated image alignment and interpretation system that not only allows images with different characteristics to be displayed, interpreted, compared, and analyzed on the same platform, but also provides a fast and seamless pathway to clinical diagnosis and treatment. The purpose of this study was to explore the imaging theory, clinical advantages and limitations of CT. At the beginning of the study, the definition and development history of CT will be explained. Subsequently, in addition to imaging theory and key parameters, one can also understand the individual advantages and clinical application of CT. Afterwards, the limitations of CT will be mentioned, and the new technology of PET/CT will be introduced. As the most advanced medical imaging technology, PET/CT has improved the way of single PET and CT scanning, making them more widely used, making it the best combination of medical imaging and diagnostic technology. Overall, these results shed light on guiding further exploration of CT.
The Recent Progress and the State-of-Art Applications for Different Types of Hall Effect
Authors: An Pengyu , Zhao Heng , Wang Ruoyu , Zhang Changyang
Published: December 2022

Contemporarily, plenty of important breakthroughs in the systematic theoretical research of Hall effect as well as a great number of applications of Hall effect have taken place. In this paper, we elucidate the theoretical development and application of the Hall effect. To be specific, the category of Hall effect and recent progress in this research field. According to the analysis, the study of Hall effect was a complex system and still have potential to develop further on theories or applications. In addition, the scheme to effectively apply Quantum Anomalous Hall effect on high-performance electronic devices and the path to commercially manufacture them should be followed with interest are detailly demonstrated. These results shed light on guiding further exploration of emerging subject, e.g., the 3D Hall effect and Valley Hall effect and their corresponding applications.
Research on Fabrication Method of Low-Temperature Superconducting Joints
Authors: Sun Hanqi
Published: December 2022

Superconducting joints (SJs) are essential materials for the development of modern technology, which is widely used in Nuclear Magnetic Resonance (NMR), Magnetic Resonance Imaging (MRI), and other fields. This paper introduces the preparation method of the low-temperature SJs, compares their characteristics and advantages, and introduces the measurement method of small resistance and the most important application of SJs.
The Principle, Progress and State-of-Art Applications of Spin Hall Effect
Authors: Li Ziang
Published: December 2022

Spin Hall effect (SHE) is a phenomenon caused by spin-orbit coupling effect, which is able to generate transverse spin currents by electrical current under external electric field. Contemporarily, it has been used as spin current detectors and generators in various experiments. This paper will discuss the basic principle, current experiments and applications of SHE. According to the analysis, SHEs in different heavy metal material is measured and compared. Besides, some spin Hall materials are believed to have potential in building better memories in massive computing tasks. Moreover, the spin Hall effect of light (SHEL) is also becoming an active research area. In the future, increasing number of spin Hall material will be discovered and the research of SHE will absolutely deepen the understanding of spin-orbit interactions in different physical systems. Overall, these results shed light on guiding further exploration of SHE.
The Design and Simulation of a Fifth-order Chebyshev Low-Pass Filter
Authors: Mei Aodong
Published: December 2022

Chebyshev filter is a design classification of filters. It uses the Chebyshev transfer function, and has many filter types, such as high-pass, low-pass, band-pass, high-resistance, band-stop and so on. Compared with the Butterworth filter, the transition band of the Chebyshev filter is very narrow, but the internal amplitude-frequency characteristics are unstable [1][2]. Chebyshev filter achieves complex transmission zeros to improve the group delay characteristics in the pass band and reduce the signal distortion. In the process of designing a five-order Chebyshev filter, an active filter network needs to be established, and each stage of the low-pass filter composed of an amplifier is connected in the same cascade to form a multi-order Chebyshev low-pass filter. To design a Chebyshev filter, a Sallen-key structure is needed, and the transfer function is determined according to the position and size of the different resistors and capacitors placed, and a Chebyshev filter with different functions is constructed. The Multisim Simulation software is used to simulate the design results, and the frequency response amplitude curve in the image is found to be fluctuating with equal ripple in the pass or stop band.
Modeling and Control Design of Wind-Battery Integrated Grid System
Authors: Bu Tianle
Published: December 2022

Due to the large amount of increase in wind power generation in the past decade, the wind-battery storage systems are needed. Using such systems can neutralize the power fracture and instability caused by wind power production. This paper begins with reviewing the system components, mainly wind turbine (WT) and battery energy storage system (BESS), including how they work, what problem they resolve, and what challenges they are facing. Then this paper will present mathematical modeling methods for those components and the wind-battery integrated system itself. Finally, different control methods will be reviewed.
Study of Messier 7 Open Cluster with Gaia EDR3
Authors: Hu Ke , Zhou Qingya
Published: December 2022

This research aims to study the general characteristics of Messier 7 Open Cluster using ESA’s Gaia EDR3. Fields of this research includes motion of the star cluster, structure of the star cluster, stage of evolution for the individual stars, stellar isochrone approximation, and possible exoplanets detection. The processes of data analysis in this research, which includes selection, calculation, and graphing, are based on coding in Python language with Astropy Python Library. The purpose of this research is to portrait the Messier 7 Open Cluster in general based on these parameters, while also to provide a possible method of data analysis for all similar research on particular star cluster in the future.
Transit and Radial Velocity Analysis of Exoplanets Around Stars Associated with Hot Jupiters
Authors: Huai Zhaoyu , Liu Xicheng , Ye Danfeng , Ning Yutong , Li Mingyang
Published: December 2022

Hot Jupiters are gas giant planets that have proximity to their host stars with very short orbital periods. The discovery of hot Jupiters challenges the previous hypothesis of planetary formation. To improve our knowledge of Hot Jupiters, this work further investigates over 50 stars surrounded by hot Jupiters by analyzing the updated transit data from the Transiting Exoplanet Survey Satellite (TESS), and the radial velocity data primarily from the Keck Telescope. With the limb darkening model and the eccentric orbit model, planetary parameters of the stars are updated. Furthermore, the evidence of wide orbiting planetary masses of some planetary systems is discovered in this paper. Further investigations could be done on the presence of the unseen and non-transiting masses to support the migration hypothesis of the formation of Hot Jupiters.
Investigation of Companion Stars Around White Dwarfs
Authors: Liu Yuheng , Fu Jiani , Xu Yihan , Lao Tianlin , Liu Silong , Tian Yuan
Published: December 2022

Astronomers have discovered numerous stars in galaxies, each with unique characteristics that mostly evolve into white dwarfs when reaching an evolutionary limit. A star with a low or medium mass less than about eight times the mass of the sun becomes a white dwarf after exhausting its nuclear fuels and begins to condense inwards by the force of gravitational attraction, leading to the final collapse. In this paper, the investigation analyzes three companion stars orbiting around three dwarfs by utilizing data provided by TESS (Tess Exoplanet Survey Satellite) Program G04137, providing more than 5200 candidate white dwarfs for a transiting planet. After testing 5200 known candidates of white dwarf provided by Tess Program G04137, the investigation decided to analyze three companion stars of TIC 403292348, TIC 1860468684, and TIC 356659664. In the first case study, the number of white dwarfs with the possibility of hosting planets is estimated from analyzing BLS data from listed white dwarfs in Sector 40, and the accuracy and limitations of this method are discussed qualitatively as well. In the second case of TIC-1860468684, the investigation analyzes a binary system with a young and bright White Dwarf and a low mass star, where the white Dwarf has tidally locked the star, and there may be nova formed in this system due to material transfer in the future. In the last case of TIC 356659664, the situation of a target is calculated, and possible cause of the target white dwarf’s flux curve is estimated. By analyzing three companion stars around white dwarfs, more data will be provided for astronomers for future scientific research.
Numerical Investigations of Non-equal Mass and Non-equal Spacing Packing of Planetary Bodies
Authors: Liu Zhixing
Published: December 2022

We study the optimal packing of non-equally massed and non-equally spaced multi-planet systems through numerical N-body simulations. Previous studies have generally assumed that a system of equal mass planets will be optimally packed if they are also equally spaced, i.e., if the semi-major axis ratios between planet pairs is a constant. We explicitly test this assumption by obtaining the stability timescales of 5-planet systems around a Sun-like star (with masses varying from 3 Earth masses to 3 Jupiter masses) with increasing degrees of non-uniform-spacing represented by the parameter k. Such systems are simulated using N-body integrations until they reach the point of gravitationally unstable close encounters. For planets with equal masses, a value of k = 1 corresponds to equal spacing, whereas a value of k < 1 leads to the inner planets being more widely spaced than outer planets. We study the optimal value of k for optimal planet packing (i.e., longest stability time) under both equal mass and non-equal mass scenarios and find evidence that k = 1 is optimal under most (but not all) initial conditions; we discuss the scenarios where k < 1 may be preferable. We also study the role that distance to mean-motion resonances (MMRs) play in determining the configurations of optimal planet packing.
Using Cosmic Watch Detectors to Measure the Attenuation Coefficient of Cosmic Muon in the Lead Bricks
Authors: Su Hang , He Xiangjuan , Hong Shuqi , Lin Ziqi , Sun Banghao
Published: December 2022

This paper calculates the attenuation using a portable cosmic ray detector, Cosmicwatch. The detection was taken 1164749 times and recorded into the SiPM card. Unsatisfying, our result varies largely from other papers. However, the performance may be disturbed by changes in their usual environment. From a more accurate perspective, more regulation of the environment, such as temperature, is needed. Nevertheless, CosmicWatch is still a practical educational resource for universities.
Antimatter and Its Application-Collecting Antimatter and Storage It as Energy Source
Authors: Zhang Ruichen
Published: December 2022

As antimatter and its potential to use as an energy source is discovered by modern scientists, there are few reviews to introduce the history and applications of antimatter which is the aim of the paper. This paper provides a brief introduction to how antimatter was discovered and some possible applications of antimatter in the future. In this paper, the physics of antimatter and the creation, storage and using ways of antimatter will be described. After that, I will summarize the feasibility of utilizing the energy from the annihilation of antimatter-matter. And some possibilities of applications based on this energy, like antimatter ships and antimatter factories, will be discussed.
The Correlation Between Black Hole Accretion and Star Formation Rate Based on IllustrisTNG100-1
Authors: Li Qiyu
Published: December 2022

Observational results suggest the co-evolution relationship between the supermassive black holes (SMBHs) and their host galaxies. However, the definitive conclusion of the correlation between the star formation rate (SFR) and central black hole accretion rate (BHAR) remains unclear. In this paper, the correlation between the BHAR and SFR is investigated in terms of cosmological simulation IllustrisTNG100-1. In simulation, BHs are divided into 2 types (quasar state and kinetic state) based on their accretion speed and the feedback mechanisms between the two are different. The strong positive correlation between BHAR and SFR for quasar state BHs and low-mass kinetic state BHs is revealed. However, for high mass kinetic-state BHs, the SFR manifestation a BHAR and BH mass-independent randomly distribution. According to the analysis, this phenomenon is attributed to the environmentally insensitive, self-regulate accretion rate for high mass BHs at late time. The properties of these BHs are described, which offers a guideline for high mass AGNs observation and theorical investigations on their accretion and feedback.
Comparison of the Detection Paradigms of Axion and WIMPs
Authors: Lu Zhenhan
Published: December 2022

Contemporarily, as a popular topic for a long time, dark matter has been widely discussed. There are different dark matters candidates proposed by scholars which are likely to exist in the universe. This paper discussed about the detection schemes of two different types of dark matters, i.e., axion and WIMPs. The different detection methods are based on different properties of the dark matters. Their differences in mass, electricity, interaction between other particles or other various natures contribute to different detection methods. For WIMPs, direct detection, indirect detection, accelerator searches, bark stars and high energy solar neutrinos are proper methods. Regarding to axion, all different experiments held to detect axion almost based on the same idea, which is axion can transform into photons and vice versa in strong electromagnetic field. Testing the dark matters through various ways can have a more credible result. Moreover, this study summarizes the detection methods for each dark matter, and try to figure out the inherit reasons behind it. Overall, these results shed light on guiding further exploration of the detection of dark matters.
Distance Causes Departure: Characteristics of Galaxies Vulnerable to Photometric Redshift Measurements
Authors: Wang Xinyu
Published: December 2022

In this article, we developed the method for calculating photometric redshift through a simple linear regression model. By studying the training set DR17 in Sloan Digital Sky Survey (SDSS), using the spectroscopic redshift data do the fitting job, we got linear coefficients and apply it to the target set and study the model. By dividing the estimation into several levels, analyzing the scatterplot and spectrum for galaxies in each divided set, we find that the percentage error, defined as is correlated with the distance of the galaxy from observatory in some basis. Further research should be done for making better curves using machine learning and complex models, and increasing the dataset.
Maintenance Strategy for Different Values of System Components
Authors: He Jie
Published: December 2022

In this paper, the problem of the huge direct and indirect losses caused by vehicle failure is discussed. To solve the problem, we focus on the brake system of automobile as the research object and classification of high and low reliability value according to the characteristics of different components. On this basis, the maintenance strategy and cost analysis formula are given. Finally, the Monte Carlo method is used to simulate the cost calculation on MATLAB.
Analysis of Some Major Types of Coin Sorting Devices
Authors: Zhang Tianrui
Published: December 2022

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

With 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The 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

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

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

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

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.
Optimization of silicone rubber materials for high voltage switchgear and study on characteristic gas of thermal decomposition
Authors: Tang Bin , Liang Qinqin , Zhang Longfei , Luo Zongchang , Luo Chuansheng , Hu Mengzhu , Wang Jialin , Zhu Liping
Published: December 2022

In this paper, three kinds of silicone rubber materials, methyl silicone rubber, phenyl silicone rubber and fluorosilicone rubber, are used as the research object, contact angle tester, thermal conductivity tester, insulation resistance tester, differential scanning calorimeter and thermogravimetric analyzer to explore the effect of side groups on the properties of silicone rubber. The results show that the thermal conductivity of three kinds of silicone rubber materials is poor, but they all have good hydrophobicity, insulation and thermal stability. Among them, phenyl silicone rubber shows better hydrophobicity and thermal stability. In addition, the type and relative content of characteristic gases of thermal decomposition of silicone rubber materials at different temperatures are analyzed in detail by gas chromatography mass spectrometer. The results show that C6H18O3Si3 and C8H24O4Si4 are the common characteristic gases of thermal decomposition of three kinds of silicone rubber.
Research on control and management mechanisms in Time-sensitive networks
Authors: Chang Ying , Yang Hongxue , Zhu Qinghua
Published: December 2022

In recent years, with the development of the new generation of network information and communication technology, the internet of things, the internet of vehicles and the industrial internet technology have been booming. At the same time, many time-sensitive businesses have sprung up. The demand of these businesses for data transmission is developing towards the direction of high rate, low delay and low jitter. The current internet technology is facing great challenges. However, due to the inherent problems of forwarding mode and control management mechanism, traditional ethernet is difficult to meet the real-time, deterministic and reliability demands of time-sensitive flows. In the face of the urgent demand for the deterministic data transmission of time-sensitive businesses, time-sensitive network technology emerges at the historic moment.
Research on single cell membrane algorithm and engineering application based on membrane computing theory
Authors: Song Qi , Huang Yourui , Xu Jiachang , Lai Wenhao , Xu Shanyong , Han Tao , Rong Xue
Published: December 2022

Membrane computing is a new computing paradigm with great significance in the field of computer science. The Multi-membrane search algorithm (MSA) is proposed based on the membrane computational population optimization theory. It showed excellent performance in the test. This paper further studies the performance characteristics of a single individual (Single Cell Membrane Algorithm, SCA) of MSA. SCA can generate adaptive solution sets for problems of different dimensions. Through transcription and reprocessing rules, new weakly correlated feasible solutions are formed for global search and local exploration. This paper is based on the unimodal Sphere function and the multimodal Rastrigr function, at dim=3, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 300, 500, 1000 and Q=1.00, 0.75, 0.50, 0.40, 0.30, 0.20, 0.10, 0.005, 0.025, 0.010, the SCA was optimized for 1000 iterations. Analyze the impact of the key parameter Q of SCA on the search performance of the algorithm in problems of different dimensions. The results show that under the set conditions, SCA has better performance when Q is 0.010 and 0.025 in the unimodal function test. In the multimodal function test, SCA has better performance when dim≤100 and Q≤0.200, and when dim>100 and Q≥0.200. In addition, this paper employs one engineering problem: I-beams to perform engineering tests on SCA and obtain results superior to other algorithms participating in the comparison. The test and comparison results show that SCA can also be used as a derivative algorithm of MSA, and has good performance.
Design and implementation of ECC combined with OPT encryption algorithm
Authors: Yang Xiaotian , Ma Ran , Gao Fei
Published: December 2022

【Objective】 Combining ECC and OPT, a novel elliptic curve algorithm was proposed, which can effectively resist the reverse calculation of quantum computer and ensure the security of private key. 【Method】 On the basis of elliptic curve encryption algorithm, OPT algorithm was introduced to protect the private key. 【Result】 The signature and verification of messages can be successfully completed by the repeated algorithm on Python platform. Finally, the algorithm is proved to be safe under Shor algorithm and quantum computer attack through algorithm theory. 【Conclusion】 ECC combined with OPT encryption algorithm can effectively resist reversible computation of functional quantum devices, prevent eavesdroppers from forging signatures, and ensure the security of modern public key cryptosystems.
Influence of thickness and temperature on photoelectric properties of p-CdTe-nCdS and pCdTe-CdSe heterostructures
Authors: Otazhonov S M , Ergashev R N , Botirov K A , Qaxxorova B A , Xudoynazarova M A , Abdukarimova N A , Madaminova M E , Ismoilova E M
Published: December 2022

In this paper, we study the photoelectric properties of pCdTe-nCdS and pCdTe-nCdSe-based film heterostructures. It is shown that the high value of the electron diffusion length in pCdTe slick (pellicle) is due to the presence of a built-in field in it. When studying the effect of temperature on the spectral characteristics, it was found that with increasing temperature, the maximum photosensitivity of the heterostructure shifts towards longer wavelengths of light. The shift in the photosensitivity maximum is explained by changes in the band gap of cadmium telluride. As shown, the accumulation coefficient increases with raising thickness of the wide-gap layer. It has been established that the short-wavelength edge of the photosensitivity of the pCdTe-nCdS structure begins to increase sharply at a photon energy of hv ≤ 2,3 eV, while the photosensitivity of the pCdTe-nCdSe structure already at a photon energy has a significant value ~ 100 μA/mV.
Intrinsic oscillations of viscoelastic three-layer truncated conical shell
Authors: Safarov I I , Teshaev M Kh , Axmedov Sh R , Boltayev S A , Almuratov Sh N
Published: December 2022

Conical shells are used in rocket engineering, construction, aircraft engineering and shipbuilding. The purpose of the present work is to carry out a technique, algorithm and programs for obtaining resonant frequencies and waveforms for circular viscoelastic three-layer conical shells. On the basis of the Lagrange variation equation integral-differential equations of own vibrations are obtained. Based on the method of finite elements, a method for solving the problem of eigen-wear oscillations of the truncated three-layer shell with handedly and freely resting edges was carried out. The problem comes down to solving algebraic equations a large order. Obtained a frequency equation with complex output parameters. The proper oscillations of truncated conical shells are investigated, some characteristic features are revealed. Solving the frequency equation by the Muller method, complex roots are determined. It is established that as the elastic modulus of the shell increases, the real and imaginary parts of the natural frequencies increase accordingly. Paying attention to the rheological properties allows you to increase the values of frequency up to 15%.
Reflection of an electromagnetic wave from two-layer bigyrotropic magnetic structure
Authors: Mukimov K M , Ochilov O , Turkmenov H I , Ochilova O O
Published: December 2022

The issues of reflection of an electromagnetic wave from a two-layer bigirotropic magnetic structure are considered, the formulas obtained can be used to calculate the equatorial Kerr effect depending on the dimension of nanofilms. And also, for the interpretation of experimental results of the equatorial Kerr effect on transparent multilayer magnetic materials, where quantum dimensional effects are influenced.