bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization and Upgrade of Special Database Management System for University Archives Based on Cloud Computing
Authors: Wang Jianjun 
Published: December 2021

Abstract
With the progress of society and the development of science and technology, the data management of archives in colleges and universities has also changed from traditional manual operation to information technology system operation, which has taken a big step forward in the speed of data archive management. At the same time, following in the footsteps of the party and the state, according to the education reform measures issued by them, further implementation and implementation. With the innovation of education model, the reform of management method, and the expansion of teaching scale, the types and quantity of files are also increasing, and the scope is also expanding, which leads to the continuous increase of management difficulty. This requires data management to achieve informatization to meet the needs of society. The purpose of this paper is to study the optimization and upgrading of the special database management system of the archives of colleges and universities based on cloud computing. Based on cloud computing, this paper proposes the establishment of a special database management system for college archives and the methods and key technologies used in the process of optimization and upgrading. First, analyze the characteristics of the database management system, and then conduct demand analysis and functional analysis of the system. Secondly, research the advantages and disadvantages between the traditional data management of colleges and universities and the current latest database management system. Finally, according to the needs of the special database and system function requirements, the overall design of the archives management system is carried out, database modeling tools are used to optimize the database, and then its operation is studied, and system testing is carried out to enable it to meet the needs of university archives management. The experimental results show that the focus of database function optimization in different universities is different. University A prefers timeliness, accounting for 46%. University B thinks security is the most important, accounting for as high as 51%. University C is relatively even, both at 30%. The conclusion is to select the most practical and demanding functions for further optimization, and choose an overall design suitable for the special data of colleges and universities.
Research on Aging Dielectric Properties and Physical Testing of Electric Vehicle Insulating Silicone Rubber under First Principles
Authors: Zhang Zhiqiang , Wang Wenlin , Feng Cheng , He Peng , Yang Jingcheng , Wu Zhensheng , Yang Haitao 
Published: December 2021

Abstract
Aiming at the aging problem of insulating silicone rubber for new energy vehicles, this paper studies the equations of the aging of silicone rubber and its dielectric properties based on first-principles calculations. First, through the analysis of the microscopic mechanism of silicone rubber aging, the equations of the aging of silicone rubber and the rupture of the molecular main chain is obtained. Then the equations of silicone rubber molecular length and dielectric constant are solved by density functional theory. Ultimate, a molecular chain scission model of silicone rubber was built, and the micro-dielectric relationship was extended to the macroscopic level. The equation of the norm molecular length of silicone rubber and the dielectric constant is obtained. It provides an important theoretical basis for the aging detection of insulating silicone rubber for new energy vehicles based on electromagnetic waves.
Analysis of Pressurized Pyrolysis Behavior of Yichun Coal at Different Temperature with Gas Chromatography and Mass Spectrometer
Authors: Jiang Yuan , Tian Yuanyu , Qiao Yingyun 
Published: December 2021

Abstract
The fast pyrolysis connected with gas chromatography/mass spectrometer is used to explore the pyrolysis process of Yichun raw coal, and the influence of different pyrolysis temperatures on the composition and distribution of pyrolysis products under high pressure is investigated. Studies have shown that as the temperature increases, the number of volatile substances gradually decreases, which indicates that high pressure inhibits the production of volatiles. In addition, aromatic hydrocarbons in pyrolysis volatile substances dominate, and as the pyrolysis temperature increases, their content gradually increases. The volatile substances transform towards low carbon number compounds with the increment of temperature.
The study of the physical characteristics and cooling plate thermal control below the lithium battery based on FEA
Authors: Yang Dazhou , Jiang Mengjun 
Published: December 2021

Abstract
Four types of cooling plates with serpent channel structures are established to study the cooling effect of rectangular lithium-ion power battery under different cooling plates. Then, the number of serpent bends is analyzed, whether the fillet and pipe wall thickness is set on the cooling performance of the liquid cooling plate. According to the analysis results, a new liquid flow structure form of liquid cooling plate is designed. Numerical simulation results show that the newly designed cooling plate is integrated with the front flow of water and the internal liquid side flow, achieving a cooling effect with the maximum temperature is 309.55K and a pressure drop of 6032.1pa, which has the most effective cooling performance. Under the requirement of controlling reasonable temperature and low-pressure drop, a liquid cooling plate with better performance can be designed by innovatively setting the direction of the water inlet and outlet and the water channel’s internal flow. The above results will provide some ideas for the design of a lithium-ion battery liquid cooling plate.
Research On the Effect of Reinforcing Filler on The Mechanical and Electrical Properties of Insulating Coated Silicone Rubber
Authors: Yang Junting , Huang Zhijuan , Ma Zhenqi , Zheng Mingguo , Su Juan 
Published: December 2021

Abstract
This paper studies the silicone rubber insulation coating material used for the modification of overhead bare wires. The influence of two reinforcing fillers of silicone rubber on the density, mechanical properties and electrical properties of insulating coating materials was explored. Finally,25 copies of white carbon black were selected as a reinforcing filler to prepare a low-density, high-strength, and good insulating silicone insulating coating material.
Realization of GPS Dynamic Hijacking Based on Software Radio
Authors: Wang Zhihui , Yang Fan 
Published: December 2021

Abstract
GPS positioning technology has a wide range of use scenarios, but due to the known characteristics of GPS signal open reception and modulation methods, many solutions can easily deceive GPS signals. Once this technology is abused in violation of regulations, it may cause major safety and property losses. In order to better study the anti-hijacking technology of PGS signals, this article starts with the generative dynamic hijacking of PGS, gives the implementation method based on software radio, and further learns the code phase and dopper between asynchronous hijacking and synchronous hijacking through software radio. The compensation calculation method of Leer frequency shift parameters, and verified the effect of the software radio’s GPS dynamic hijacking implementation method through examples, and provide theoretical support for the design and improvement of future anti-hijacking systems.
High power density thermal control design of onboard phased array antenna
Authors: Su Quanyong , Liu Juan , Xue Xianmou , Shi Zheng 
Published: December 2021

Abstract
Thermal control of high power density phased array antenna [1] has become a critical problem for onboard seeker which is confined by compact structure and harsh flight condition [2-4], different from land-based or airborne seekers. As a key technology, thermal control of onboard phased array antenna faces the challenge of high density power element as well as worse operating temperature. Using finite volume method as theoretic foundation of numerical simulation, this paper firstly calculates temperature field and fluid field via discrete control equation group, which is transformed from continuous integration equation group according to energy reservation equation. Next,2 kinds of phased array antenna with phase change energy storage and water cooling are designed and evaluated by thermal control performance simulation. Then advice is given for reasonable assembly after temperature distribution of phased array antenna is quantified under different assembly state with the influence of contact thermal resistance. At the end, precision of temperature simulation is verified with temperature test result of phased array antenna.
A Study on the Detection Method of Dark Matter using Gravitational Waves
Authors: Li Zheng , Yang Chenyu , Zhou Xinen 
Published: December 2021

Abstract
Dark matter is a type of invisible matter that analytically exists in the universe. Nowadays, scholars have yet detected it and confirmed its presence experimentally. Einstein predicted gravitational waves based on his general theory of relativity. In 2015, the Laser Interferometer Gravitational-Wave Observatory (LIGO) first detected the gravitational wave. This paper reviews the background of dark matter and gravitational waves and introduces the method of detecting dark matter with gravitational waves. Moreover, the feasibility of the scenario has been verified based on information retrieval and theoretical analysis. These results shed light on the future detection schemes of dark matter detection.
Design and Thermal Analysis of Temperature Control Experiment Box for Final Optic Assembly
Authors: Chen Changqi , Xi Tianshu , Zhang Yanan 
Published: December 2021

Abstract
The Final Optic Assembly (FOA) is one of the key components of the inertial confinement nuclear fusion device. The temperature change in the FOA is related to the laser frequency conversion efficiency of the frequency doubling crystal. In order to research the temperature control of FOA, this paper considers the internal atmosphere and internal structure of FOA, designed and fabricated a vacuum temperature control experiment box, and set up heat sources inside the box to simulate the internal heating of the FOA. This article uses different radiation heat transfer models to analysis the temperature field of the vacuum experiment box. Compare the thermal simulation results of the S2S model and the DO model, and compare them with the actual temperature of the vacuum experiment box under the same boundary conditions. The results show that the S2S model fits well with the experimental results and is more suitable for thermal analysis of FOA, which is of great significance to the follow-up FOA temperature control research.
Mechanical Properties and Fracture Analysis of High Strength Bolts in Nuclear Power Plant
Authors: Lai Yunting , Ma Qinzheng , Zuo Dungui , Zhang Guodong , Liao Kaixing , Zhang Zhongwei 
Published: December 2021

Abstract
A high-strength bolt of a steel structure of a nuclear power plant failed and fell off. In order to determine the cause of the bolt’s fracture, a series of tests such as macro inspection, physical and chemical performance test, and microscopic analysis of the fracture were carried out on the failed bolt. The results show that the cause of bolt fracture is hydrogen embrittlement. Hydrogen infiltrated into the bolt during the phosphating process and the corrosion process during use, and then hydrogen continued to accumulate eventually causing hydrogen embrittlement fracture. Dehydrogenation treatment should be performed immediately after the phosphorylation treatment, and the anti-corrosion method of the bolt should be optimized, which is an effective measure to prevent the hydrogen embrittlement of high strength bolts.
A thermoplastic resin matrix and its physical properties suitable for deformable mandrel
Authors: Lu Xin , Jing XiShuang , Zou JiaRong , Zhang ChengYang , Wu ChenJun , Chen SiYu 
Published: December 2021

Abstract
The mandrel is able to shape the part cavity, therefore is of great significance for composite parts in the manufacturing of carbon fiber reinforced polymer(CFRP) composite part. However, in the manufacturing of composite parts with complex cavities, traditional rigid mandrel cannot be removed out of the cavity in any direction after the outer prepreg is cured. To solve the problem of difficult demolding, a kind of deformable mandrel emerged. The deformable mandrel is rigid at room temperature to support composite part curing. While at relatively high temperatures, the mandrel is softened so that the mandrel can be easily removed from the composite part despite the complex part cavity shape, therefore resolving complications regarding the demolding process. In this paper, a thermoplastic resin material matrix suitable for the preparation of deformable mandrel is proposed. Ingredient and manufacturing flow of the thermoplastic resin matrix are introduced, and the applicability of the proposed matrix with regard to the deformable mandrel is validated through dynamic mechanical analysis.
Research on Early Warning Technology of Lightning Arrester Defects Based on Multi-stage Information and Bayesian Inference
Authors: Pei Ying , Niu Lin , Li Haifeng , Li Yajin , Yu Dayang 
Published: December 2021

Abstract
The differences in the probability of occurrence of different equipment and defects lead to the small sample characteristics of the defect of the arrester, which makes it difficult to train an accurate prediction model. It is difficult to identify the abnormal state when the arrester monitoring data does not exceed the limit and increase steadily relying on the arrester monitoring index and threshold to judge the defect. Therefore, a lightning arrester defect early warning method based on multi-stage information and Bayesian inference is proposed. The Bayesian inference algorithm is used to calculate the probability of defect cause categories under different feature quantities. According to the new test evidence, the probability of the defect cause category under different feature quantities is updated to identify the defect cause. The algorithm automatically adjusts the prior probability indicators of equipment defects and causes in the model based on the new detection data and annotation conclusions to ensure the accuracy of defect cause classification. The lightning arrester operation and maintenance data and online monitoring system of a power company is used to analyze and verify the effectiveness and correctness of the method proposed in this paper, which provides effective supportfor the lightning arrester operation and maintenance.
Study on Response Spectrum of Seismic Design of Ultra High Voltage Converter Valves in Bedrock Site
Authors: Cheng Yongfeng , Lin Sen , You Hongbing , Lu Zhicheng , Chen Ersong 
Published: December 2021

Abstract
It is difficult to evaluate seismic performance of ultra-high voltage (UHV) converter valves reasonably because the response spectrum period used in seismic design of electrical equipment fails to cover the structural period of UHV converter valves at present. Bedrock response spectrum is the basis of seismic design response spectrum. 471 records of long period strong earthquakes in bedrock were analysed. The amplification power spectra and average spectra of all records were calculated. The seismic hazard analysis of 17 typical UHV converter stations was carried out, and the bedrock response spectra with exceedance probability of 10% and 2% in 50 years were proposed. The structural forms of the existing main response spectrum descending segments were compared and analysed. The corresponding response spectra of the long period strong earthquake records and the bedrock response spectra of the UHV converter station were fitted. The bedrock response spectrum of the UHV converter valves with the period range of 0-10s was determined, which lays a foundation for the seismic performance evaluation of the UHV converter valves.
Physical Properties and Failure Analysis for Bolts in the Diaphragm Valve by Micro Morphology and Metallographic Test
Authors: Zuo Dungui , Zhang Zhongwei , Lai Yunting , Zhang Guodong 
Published: December 2021

Abstract
The reasons leading to the fracture of 17-4PH stainless steel bolts in the isolation valve of a power plant was analysed by means of morphology analysis, chemical analysis, hardness test, metallographic test, pitting corrosion test and intergranular corrosion test, SEM and other detection means. The results show that there are many corrosion pits on the surface of the valve stem in the seawater system, the corrosion pits is extend and propagation in intergranular cracking. The main reasons to valve stem fracture are the low corrosion resistance of the material and the improper aging process of heat treatment.
Application of Electric Energy Saving Light Source and Light Emitting Diode in the Landscape of Buildings under Optical Spectroscopy Theory
Authors: Shi Xiaojing 
Published: December 2021

Abstract
How to reflect energy conservation and environmental protection in the landscape of high-rise buildings is a hot topic of current research. How to use environmentally friendly materials to show the charm of high-rise building landscape is the main content of this article. Based on the colour samples of the high-rise building landscape, the thesis uses environmental protection and energy-saving light sources to simulate the lighting of the building colour samples in the laboratory. This article realizes the quantitative research on the colour authenticity performance of colour paintings under commonly used LEDs in high-rise building landscapes, and provides a reliable basis for the selection of LEDs in colour painting lighting design.
Variation Characteristics Mathematical Calculation of O3 and Its Relationship with Meteorological Factors by Big Data Technology
Authors: Jin Tiantian , Wang Lei , Zhao Yuguang , Shen Luming 
Published: December 2021

Abstract
Based on the data of environmental monitoring stations and meteorological stations in Qinhuangdao from May 2017 to May 2020, the variation characteristics of O3 and precursors (NO2 and CO) as well as their relationship with meteorological elements were analyzed. The results showed that the daily average concentration of O3-8 h in Qinhuangdao increased year by year. The monthly average concentration of O3-8 h was high in summer and low in winter, and the peak appeared in June. The diurnal variation of O3 concentration was unimodal structure, and the concentration increased in the afternoon, but it decreased at night. The concentration of NO2 and CO was inversely correlated with O3, and the peak value of NO2 in March could be related to frequent cold air activity and increased burning of loose coal. The meteorological elements favorable for the occurrence of ozone pollution weather in Chengde were total solar radiation irradiance greater than 1000W/m2, the daily maximum temperature greater than 33 °C, and the daily minimum relative humidity less than 40% and 65%∽80%, southerly wind or southwest wind.
Data Statistics in Volatile Analysis by Accurate HS-SPME-GC/MS Measurement and Calculation
Authors: Zhang Ming , Du Liqing , Shuai Xixiang , Ma Feiyue , Li Ya , Qiao Jian , Tu Xinghao 
Published: December 2021

Abstract
The volatile flavor compound in oil is an important indicator of quality which is widely used in the industry to assess the commercial value of oil. The volatile compounds of moringa seed oil were investigated by HS-SPME-GC/MS. The results showed that 52 volatile compounds were identified in moringa seed oil, including 12 hydrocarbons (20.66%),3 acids (23.99%),8 alcohols (8.28%),2 esters (2.61%),8 aldehydes (14.58%),2 ketones (0.82%),7 phenols (6.25%) and 10 heterocyclics (8.74%). Due to the low sensory threshold and high relatively content of aldehydes, aldehydes is one of the mainly factors to affect the flavor of moringa seed oil.
Application of computational fluid dynamics in the research on odorous-black water and physical treatment technology
Authors: Guo Chao , Wei Yulu , Liu Siqi 
Published: December 2021

Abstract
As an extreme phenomenon of water pollution, odorous-black water not only cause ecological damage and threaten human health, but also severely restrict urban development. This paper mainly summarizes the main points, applicability, advantages and disadvantages of the current comprehensive treatment technology of odorous-black water, and analyzes the later development direction of odorous-black water treatment technology. It is considered that the treatment of odorous-black water is a systematic project, which involves many sources such as external source interception, water purification, quality assurance of living water, ecological restoration are the important technical means.
Research on object detection algorithm based on deep learning for mobile Terminal
Authors: Luo Jie , Ye Jufeng , Shan Lan , He Qunying 
Published: December 2021

Abstract
In order to improve object detection ability of robot, this study introduces an object detection algorithm which is based on deep learning. Firstly, a neural network that contains Convolution Layer, Pooling Layer and Fullly Connection Layer is designed to recognize whether the target object in image. Secondly, the Faster-RCNN, as a typical object detection algorithm, is used to detect the position of target object in image. Finally, the algorithm is transplanted on Raspberry Pi for deployment and testing. Results show that this algorithm can work well on Raspberry PI, and the mAP (mean average precision) and FPS (frames per second) reach 97% and 3. Meanwhile, the position of target object is accurately marked in image. Therefore, this study implies that the object detection algorithm based on deep learning can be implemented on mobile terminal and is helpful to improve object detection ability of mobile terminal.
Application of differential countermeasure machine learning model in the field of UAV circuit inspection
Authors: Huang Xinrui 
Published: December 2021

Abstract
In this paper, we establish one-objective differential game equations for one-to-one attack and defense in a two-dimensional plane. Through calculation and visual analysis, obtain the optimal pursuit path movement trajectory, and through machine learning method to training UAV, using cycle process of simulation, output with time growth each cycle pursuit path results, by comparing the movement trajectory image of the pursuit results and find the sheep just escape critical point exit. After that, the angle difference between the two initial positions was changed and tested again to enable the UAV to learn the optimal escape strategy more comprehensively, thus making a more precise path selection. Finally, this method can be reasonably evaluated.
Application of Intelligent Sensors in Biomarker Detection Using Accurate Data Measurement and Calculation
Authors: Chen Hao 
Published: December 2021

Abstract
Cancer has been one of the most serious health issues of the 21st century. Although improvements in the treatment of cancer with new pharmaceutical products and technology remain a significant challenge for cancer biologists and oncologists. Early and accurate screening and analysis technology to diagnose the disease are essential for improving the survival rate and reducing mortality and morbidity. Scientists have discovered the clinical application of cancer biomarkers for cancer diagnosis and treatment. Biosensors technology appears to be the only hope for timely diagnosis and treatment of cancer, since they exhibit remarkable analytical performance. In this review, we will discuss about basic knowledge and classification of biosensors, common cancer biomarkers and some applications of biosensors in cancer biomarker detection.