bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Optimizing Transmission Efficiency and Illumination Distribution of Tubular Daylighting System
Authors: Huang Erdong 
Published: December 2022

Abstract
Although building lighting is paid more and more attention now, due to the limited areas illuminated by typical lighting, such as windows and skylights, especially the lack of sunlight irradiance and uneven distribution of sunlight often occur deep inside the room. The light pipe can effectively solve this kind of problem and transmit sunlight directly to the room. The light pipe with the inner diameter of 250mm was fixed, and the working efficiency of light pipes with different shapes and sizes was simulated by computer with illumination angles of 15, 45 and 90. Through simulation, it is found that the illumination angles of light pipes with different shapes and sizes are different at the maximum efficiency. It can match the suitable regional environment according to shape and size characteristics, meet daily office needs, and reduce the assistance of artificial lighting during the day, thus reducing the use of artificial lighting in buildings during the day and reducing the daily power consumption.
Measuring Particle Production Using Tracklets
Authors: Zhang Yuetong , Wang Chenrui , Li Yekun , Liang Xinwen 
Published: December 2022

Abstract
The purpose of the study was to access the particle production. Tracklets was adopted to measure the relationship between centrality ranged from outermost (70–80%) to central (0–5%) collisions and the primary charged-particle density

d
N

c
h

d

η

at

S

N
N

= 2. 76 TeV. It reveals that the dependence of centrality and that measured at lower collision energies (

S

N
N

< 2.76 TeV) are similar.
Analysis of the Charged-particle Multiplicity Density in Centrality from Track Lets
Authors: Shi Xuanyu , Zhang Hanwen , Wang Chengchenyu , Mu Yuanyuan 
Published: December 2022

Abstract
This paper shows the relationship between charged hadron diversity and centrality in hadron Pb-Pb collisions at a certain collision energy(2.76 TeV) per nucleon pair. It is found that the centrality from 70–80% to 0–5%, each normalized charged particle density of participating nucleon pair increases by about twice. The collision of particles in the experiment was simulated by ALICE, a detector dedicating heavy-ion physics at the Large Hadron Collider. This work compares the data sample with models based on different mechanisms for particle production in nuclear collisions. And the error analysis of data in the end of this passage ensures the correctness of the experiment.
Circuit Design for a 4-Channel EEG Pre-processing System with Programmable Output Control Capability
Authors: Hu Yinshi 
Published: December 2022

Abstract
The design of a 4-channel Electro-encephalography (EEG) pre-processing circuit using 0.6m CMOS technology is proposed in this paper. The circuit is divided into two parts. To amplify and differentiate the Alpha, Beta, Delta, and Theta waves from the original EEG signal, a mixed-mode EEG pre-processing system with high gain, low power, and low input noise amplifier and four Gm-C band-pass filters driven by a 1V single power supply are designed. The 4-channel pre-processing system is implemented by connecting four of them in parallel. Second, a digital control circuit consisting of a Serial Input Parallel Output (SIPO) Shift Register and SRAM array is constructed and used to control the output of the pre-processing system, which is powered by a 3.8V power supply.
The Principle and State-of-Art Facilities for PET
Authors: Guo Zhiyuan 
Published: December 2022

Abstract
Since the late 20th century, Positron Emission Tomography (PET) scanners and their hybrid scanners (PET/CT and PET/MRI) offer a path to detect cancer. In this research, the PET scan will be introduced and discussed in multiple dimensions, mainly to explain the principle of PET scan, the state-of-art of PET scans, and the future of PET scans. According to the analysis, from the time that the PET scanner is invented, it not only had a better image quality but also had more functions. It is believed that an intelligent non-radioactive scanner will be achieved in the future due to the development of MRI and artificial intelligence. The main reason for conducting this research is to understand the mechanisms of PET as well as investigate the way to improve the technology itself to avoid the limitations it poses. Overall, these results shed light on guiding further exploration of the next generation of PET scans (e.g., Hybrid PET machines and machine learning).
Parity Violation in Electron Scattering in the E158 experiment at SLAC
Authors: Wang Ronghe 
Published: December 2022

Abstract
This paper explores strategies for correcting measurements for systematic variations and presents the measurements of the parity violation in electron scattering processed by Jupyter Notebook. The analysis used data from the E158 experiment at SLAC and explored strategies for correcting measurements of systematic variations. It also find the measured correlations that translate between a raw asymmetry and corrected asymmetry using Pearson’s correlation method and Multivariate Regression. Factors from weak neutral current interactions, mediated by the Z-boson, that possibly affect the result of the examination of the electroweak theory and the exploration for new dynamics at high-energy scales, are anticipated. The confidence intervals for measured quantities are determined as well.
Origin of the Positron Excess with Pulsar Wind Nebulae
Authors: Xia Hongbo 
Published: December 2022

Abstract
AMS-02 has been measured with unprecedented precision data for the positron flux. These data show that there is an excess of cosmic positrons detected for energies above 10 GeV with respect to the well known secondary production which is due to the collision of cosmic rays with the atoms of the interstellar medium. In this paper we have investigated the possibility that the positron excess is due to the acceleration of positrons and electrons from pulsar wind nebulae. We have first made the assumption that only one pulsar, Geminga, dominates the production of positrons detected at Earth. We find that a spectral index for the injection spectrum of e
+ is needed to fit the data but an efficiency for the conversion of pulsar energy into positron of about 100% is required. This is unphysical since also electrons should be accelerated with the same amount. We have done the more realistic case where all the pulsars reported in the ATNF catalogue produce positrons. We have demonstrated that this case fits well the data with efficiency values of the order of 10-20%. These results imply that pulsar wind nebulae in the Galaxy are likely the main contributors to the positron excess.
The Application of Gravitational Lensing on Observation of Dark Matter Candidates
Authors: Fu Zhenkai , Gao Sirui 
Published: December 2022

Abstract
Basic properties of gravitational lensing could help scientists in detecting the structure of the universe. For instance, the non-luminous dark matter, cannot detected by normal astronomical telescope. The large population low-mass halo which is the cosmological mode of cold dark matter, CDM, locating along the line-of-sight will perturb the strong lensing. In that way, alternation of dark matter from CDM to WDM will be detected by analysis the halo perturbed image. The main proposes of this review is to introduce the history of gravitational lensing, describe the principle of gravitational lensing and state the application of gravitational lensing in modern astrophysics.
Comparison of Joinery Methods on the Strength of Joining Aluminum Alloy and Steel Parts in a Vehicle
Authors: Ding Yichen , Cai Mingxin , Yu Xiaoxuan 
Published: December 2022

Abstract
The modern society greatly utilizes automobiles to fulfill the requirements of transport, and it is logically necessary to research the most efficient joinery method arrangements to construct automobiles. In the contemporary stage of joinery technology, the three mainstream methods are bolting, riveting and welding, and among these joinery methods, bolting could be used for cylinder head and cylinder block, riveting might be the most suitable means for aluminum alloy and steel in vehicle., and welding would be most appropriate for doors, bottom plates and body assemblies. These different methods have various advantages and disadvantages in their applications, as their theories and principles are all but the same. This paper also discussed the methods of joinery that should be used in parts of the automobile body and the future expectation of more novel connection methods that would appear to replace traditional ones.
Film-Cooling Effectiveness Downstream of a Single Row of Holes With Numberical Modeling in ANSYS-Fluent
Authors: Hu Xupei 
Published: December 2022

Abstract
With the increasing thrust of aero-engine, the temperature of turbine leading edge gradually exceeded the limit that materials can bear. Therefore, it is a common way to cool the turbine blades with a reasonable structure of film cooling. In this paper, the single exhaust film hole is taken as the main research object, and the effects of jet mass flow ratio, different temperature of mainstream and jet flow on the cooling effect are studied. The main research method is numerical modeling, and the modeling results are compared with the existing experimental results. The results show that the results have some error in jet’s flow situation and fluctuation in cooling efficiency, but there are still some errors in the calculation of heat transfer efficiency, which may be related to boundary layer separation phenomenon and the accuracy of the corresponding turbulence model.
Filtering method of airborne gravity gradiometer signal based on EMD
Authors: Qian Xuewu , Zhao Liye 
Published: December 2022

Abstract
Gravity gradiometer sensor performance, platform instability and electronic circuit noise can cause serious influence on the weak gravity gradiometry signal, and the noise level is usually one or several times of gravity gradient signal. This paper put forward a method to resolve this problem according to the characteristics of the signal. First of all, filtrate the gravity gradient signal with a band-passing filter. Then, demodulate the output signal of the band-passing filter, at last, remove the gravity gradiometry noise with the empirical mode decomposition (EMD) method. Then the gravity gradiometer signal was tested on the hardware-in-the-loop simulation platform. The experiment results verify that the various harmonic noise can be removed with the method proposed above, and the gravity gradient signal accuracy and gravity gradient space resolution is further improved, the good properties of the method is of high practice and maneuverability.
BSOT: Bandwidth-saving oblivious transfer protocol with confidential computing
Authors: Yang Penglin , Geng Huizheng , Su Li , Lu Li , Yang Tingting 
Published: December 2022

Abstract
Oblivious transfer is a private preserving algorithm for querying sensitive information without known by data owner. The disadvantage of this scheme is that the data owner needs to send amount of redundant data to puzzle the intended information, which will cause the waste of bandwidth. This paper introduces BSOT, a bandwidth-saving oblivious transfer protocol which uses query agent in confidential computing environment in the data source side to reduce bandwidth consumption. In this paper BSOT protocol is defined in CBOR format. Compared to the traditional OT method, this approach could push all the redundant data flow inside the data source instead of transferring by network, and could also restrict the private data from unnecessary leakage.
Multi-user detection for CPM spread system with turbo in VDES
Authors: Wu Feiyu , Zhang Qianwu , Xiang Qian , Yin Huihui , Zhang Xiyan 
Published: December 2022

Abstract
The multi-user detection technology uses the spread sequence, delay, amplitude and phase information of each user to jointly detect users, which can effectively suppress multiple access interference, It is one of the key technologies in satellite communication system to make full use of uplink spectrum resources and improve system performance and capacity. Continuous phase modulation spread signal can adapt to multi-user communication due to the random variation of spread sequence, which is gradually applied to satellite communication. QPSK-CPM spread modulation scheme is adopted in the random access channel of VHF data exchange system. Aiming at the multi-user detection problem of QPSK-CPM spread system, proposing a multi-user detection algorithm based on interference elimination joint Turbo iterative detection based on the characteristics of CPM spread sequence. Compared with the traditional serial interference cancellation algorithm, the algorithm can effectively eliminate the multiple access interference problem caused by user aliasing by using the characteristics of Turbo codes. The theoretical simulation shows that the algorithm has a good detection effect on multi-user aliased signals.
Optical arrangement method of lighting units in switchgear based on partial discharge luminosity distribution characteristics
Authors: Miao Jin , Wu Junfeng , Liu Wei , Huang Fen , Wu Yufeng 
Published: December 2022

Abstract
Partial discharge optical measurement has the characteristics of high sensitivity and strong anti-interference, but its detection effect is greatly affected by the deployment position of the sensor. Therefore, based on the radiation characteristics and transmission characteristics of optical signals, the deployment position of sensors in equipment is optimized. In this paper, an optimal layout scheme of switch cabinet lighting unit based on the distribution characteristics of partial discharge photometric is proposed. Firstly, the optical simulation model of switchgear cable room is designed, and the discharge light source is set at the typical fault location. According to the optical simulation results, the position sensor with high response intensity is selected for different discharge light sources. In order to prove the effectiveness of the layout scheme, the discharge optical detection experiment of switch cabinet was carried out. The results show that the sensor can detect discharge effectively in the selected installation position.
Primary frequency modulation of microgrid based on consistent droop control method
Authors: Hu Linlin , Fu Long 
Published: December 2022

Abstract
The rapid development of new energy sources gradually challenges the frequency stability of power systems. This article focuses on how to realize the frequency modulation control of the power grid under the fluctuation of the power grid. In order to improve the frequency stability of the microgrid system, based on the traditional droop control and consensus algorithm research, this paper proposes a microgrid primary frequency modulation based on the consistency droop control method. This control strategy improves the consistency of the progressive correction term to realize the control of the output of the energy storage unit, and improves the traditional droop controller to quickly restore the stability of the primary frequency. The root locus method verifies the effectiveness and feasibility of the control strategy. The simulation experiment verifies the frequency modulation ability of the proposed control strategy, which not only has a faster adjustment speed and response ability, but also has a strong anti-interference ability.
Design of broadband electromagnetic metamaterials absorption in double-layer resistance film
Authors: Zhu Guanfang , Kang Yifan , Jiang Yanru , Wang Aixia 
Published: December 2022

Abstract
This paper designs a lossy double-layer resistance film absorption structure, which consists of two layers of resistance film and PFA medium alternately superimposed, the bottom of the Cu conductive film is used as the reflection bottom plate, and the metamaterials absorber thickness is 4.267mm. Simulation results show that an absorption rate greater than 90% is achieved in the 6.4-21.1GHz frequency interval, with a maximum absorption peak of 98.5%, a bandwidth reaching 14.6GHz, and a relative bandwidth of up to 106.2%. The wave absorption structure presents polarized insensitive absorption and has good wide-angle incident absorption characteristics. The single-layer resistance film realized periodic and multi-resonant peak narrow-band absorption, with a maximum absorption rate of 99.9%. Based on the software simulation results, the current density field distribution map and impedance characteristics, and the absorption mechanism were analysed.
Adopting integration of multispectral time resolved analysis and graph-based deep learning method in partial discharge type identification
Authors: Xia Changjie , Ren Ming , Wang Kai , Zhang Hongyuan , Guan Haobin , Dong Ming , Zhang Tao , Miao Jin 
Published: December 2022

Abstract
Partial discharge (PD) is treated as one of the major threats for gas insulated switchgear (GIS). By using the new generation multispectral detection sensor named as SiPM-based multispectral discharge sensor (SMDS), the time resolved partial discharge with multispectral information (named as MTRPD) for creeping discharge, suspension discharge and tip discharge, respectively. It indicates that the MTRPD for the specific discharge defect perform unique spectral fingerprints in discharge mode. Based on the graph characteristics of MTRPD, we introduced the convolution neural network (CNN) to implement PD type identification whose overall accuracy of Δqi-Δqi+1 and Δti-Δti+1 were 99.7% and 98.9%, respectively. This paper provides a new technique tool for fine diagnosis of PD independent of phase analysis.
Judgment of Low-voltage leakage fault type and fault point finding method in power distribution platform area
Authors: Hong Gang , Zhu Song , Huang Hengying , Wei Xiangxiang 
Published: December 2022

Abstract
In the development of modern social economy and technological innovation, the technical application of the power industry is more and more demanding, and researchers have gradually strengthened the judgment and search technology research of low-voltage leakage fault type in distribution platform area. From the perspective of practical application, when the leakage fault occurs in the low-voltage line, it is necessary to find the area as soon as possible and put forward an effective solution, so as to avoid further expansion of the fault problem. In this paper, on the basis of understanding the causes of low-voltage leakage faults in distribution platform area, according to the various judgment schemes proposed by scholars at home and abroad, an intelligent fault identification and positioning system is deeply discussed, so as to clarify the types of faults and find methods. Finally, the practical results show that the causes of leakage faults are different, and the practical judgment and search methods should be targeted and diversified.
Monitoring and prediction of thermal failure of high-voltage switchgear insulation materials by studying the thermodynamic properties of FR-4 epoxy resin and the characteristic gas of thermal decomposition
Authors: Hu Mengzhu , Tang Bin , Liang Qinqin , Luo Zongchang , Luo Chuansheng , Wang Jialin , Zhang Longfei , Zhu Liping 
Published: December 2022

Abstract
FR-4 epoxy resin is a common material used as internal parts in high voltage switchgear. In this paper, we adopted the accelerated thermal aging method to explore the thermal aging behavior of FR-4 epoxy resin, simulating the practical application of this material in high voltage switch. The effects of thermal aging on the thermodynamic properties and thermal decomposition characteristic gases of FR-4 epoxy resin were characterized by FT-IR, DSC, TG and GC-MS analyses. The experiment results showed that thermal aging could destroy the internal crystal structure of FR-4 epoxy resin, which could lead to this material easier to be decomposed after heating. We also detected that the thermal decomposition rate of FR-4 epoxy resin aging was greatly accelerated compared with the materials that had not been aged. In addition, unaged FR-4 epoxy resin could release 9 main volatile gases under 120°C, and irreversible defects or structural damages occurred in the materials along with the volatilization of small organic molecules. Furthermore, after continuous thermal aging at 120 °C for 672 h, the molecules of FR-4 epoxy resin were more cracked and volatilized, we observed a more obvious phenomenon of thermal decomposition in this materials. In total, we compared the types of thermal decomposition gases and the decomposion mechanism of aged and unaged FR-4 epoxy resin. In application, our results can provide reference for condition monitoring and fault prediction for this material in high voltage switchgear in the future.
Power transformers fault diagnosis using graph neural networks based on dissolved gas data
Authors: Mao Weiyun , Wei Bengang , Xu Xiangyi , Chen Lu , Wu Tianyi , Peng Zhengrui , Ren Chen 
Published: December 2022

Abstract
The Dissolved Gas Analysis (DGA) is an important way and is now extensively used to detect incipient faults in oil-immersed transformers. Some conventional methods for DGA, such as the Three-Ratio Method, usually misunderstood the gas data and failed to accurately detect multiple fault combinations. Recently, most researchers investigating DGA have utilized machine learning algorithms to improve the accuracy of fault diagnosis. The dissolved gas data are usually treated as tabular data by using machine learning algorithms to achieve better results compared to conventional methods. However, those machine learning methods ignore the internal connection of the dissolved gas data in the time dimension. Therefore, this paper adopted a new DGA method for transformer fault diagnosis based on Graph Neural Network (GNN) and Multivariate Time Series (MTS) model. The results finally showed that the model outperforms the existing machine learning baseline methods and conventional methods on the dataset.
Molecular dynamics simulation of inhomogeneous density distribution mechanism of Ultra-Thin perfluoro sulfonic acid ionomer films on Triple-phase interface of PEM fuel cells
Authors: Wan Yue , Qiu Diankai , Yi Peiyun , Peng Linfa , Lai Xinmin 
Published: December 2022

Abstract
The proton exchange membrane (PEM) fuel cell is a clean power generation component with high energy conversion rate and high energy density. The triple-phase interfaces of catalytic layer are where the electrochemical reaction occurs in proton exchange membrane (PEM) fuel cell, and its distribution directly affect the reactivity. The triple-phase interface is a nano-thick perfluorosul-fonic acid ionomer (PFSA) film that covers the catalyst particles. When the density of the ultra-thin PFSA film is not uniform, the gas transport resistance increases significantly, which is not conducive to the progress of reaction. However, ultra-thin PFSA film will have inhomogeneous density distribution due to the influence of forming process. Therefore, how to design the process to improve density distribution of ultra-thin films is an urgent problem. Molecular dynamics simulation model is built to study the influence of manufacturing process on inhomogeneous distribution of ultra-thin PFSA film, and the microscopic mechanism is revealed.