bluuebunny/crossref_metadata_2025_split huggingface dataset:
INS/CNS integrated filtering technique based on celestial calibration
Authors: Yan Fei , Zhao Wangyang , Hong Hao , Zhao Fenghao , Liu Juzhong 
Published: March 2020

Abstract
This paper analyzes the filtering mode and working characteristics of INS/CNS system according to application features of celestial equipment. In view of combination mode of gyro drift calibrated by CNS, this paper establishes corresponding filtering model according to different measurement information selected by INS/CNS system. The error of inertia component is compensated by virtue of star vector estimate value so as to guarantee the long-term precision of inertial navigation. Simulation analysis verifies that this method may improve adaptability of INS/CNS system to environment, and effectively guarantee the navigation precision in long-time operation of the system.
Simulation and optimization of roll to roll hot embossing based on viscoelastic material PMMA
Authors: Ye Huichun , Yu Yongyao , Zhang Tao 
Published: March 2020

Abstract
The roll to roll hot embossing(R2RHM) is an innovative technique for rapid fabrication of polymer microcomponents. In this paper, ABAQUS simulation software is used to establish the roller model in R2RHM. Moreover, the polymer material model PMMA viscoelastic material model is given by Prony series and WLF equation. Based on these models, the influence of five factors, as pattern radius, velocity, interference, temperature and duty cycle, on the quality of R2RHM is studied by a control variable method, and the influence trend of eachsingle factor on the quality of hot impression is obtained. It is resulted that the radius of the pattern has little effect on the quality of the hot impression, while the velocity, interference, temperature and duty cycle exhibited a significant effect on the quality of the hot impression.
Performance analysis of generated spoofing under integrated navigation conditions
Authors: He Menghao , Li Changgeng , Zhou Chao , Ma Chao 
Published: March 2020

AbstractBased on the establishment of the loosely coupled integrated navigation model, this paper realizes generated spoofing by superimposing position increments in the positional state variables of the integrated navigation system. Theoretically deducing the delivery process of the position increment of the spoofing signal in the integrated navigation, thereby analyzing the influence of position increment on global satellite navigation system (GNSS) and GNSS/INS. The generated spoofing is divided into constant slanting and point-by-point slanting. The simulation analyzes the performance of the two spoofing strategies in the presence or absence of spoofing detection and the effect of different values of integrated navigation parameters on spoofing performance. The simulation results show that the point-by-point slanting and the constant value slanting are better in the presence or absence of spoofing detection, respectively. The value of the integrated navigation parameters will affect the spoofing performance.
Numerical simulation and research of the split ultrahigh pressure cylinder
Authors: Xu Shengjie , Zhao Dong , Gao Xiang , Liu Cheng , Huang Weitao , Meng Xianjiang 
Published: March 2020

Abstract
The pressure capacity of an ultrahigh pressure cylinder is the bottleneck of the development of ultrahigh pressure vessels. In order to improve the pressure capacity of the cylinder, the finite element software was used to analyse the single-layer thick-walled cylinder and the split cylinder under the same load. Research results show that the split cylinder has higher pressure capacity than that of single-layer thick-walled cylinder. Simulation of the different number subsections of the same size split cylinder show that the number’s increase of the subsections can effectively reduce their Von Mises stress under the same load.
Optimization of process parameters of GMP for 3D ultrathin glass based on cuckoo search algorithm
Authors: Ming Wuyi , Jia Haojie , Liu Xing , Liu Xin , He Wenbin , Wei Aiyun , Chen Zhijun 
Published: March 2020

Abstract
From the current development trend of mobile phone industry, 3D curved glass screen is undoubtedly the hot spot of the industry, and glass molding processing (GMP) is the main method of 3D curved glass manufacturing at present. 3D curved glass is a kind of curved glass which is formed by heating, softening, and annealing process in the mold. In GMP, process parameters not only determine the efficiency and quality of curved glass processing, but also affect the emission of CO2. Moreover, there is no definite mathematical model for the influence of these involved process parameters on the effect of hot bending. In this paper, the GMP experiment of the finished glass is carried out, and the relationship between the processing parameters and the processing quality of the finished glass is summarized. Furthermore, the experimental data is analyzed to investigate the influence of process parameters on performances of GMP. By cuckoo search algorithm method, the parameters of GMP are optimized.
Schematic Design of FOG Magnetic Sensitivity Test System
Authors: Lu Jun , Guo Zhi-rui , Liu Lei , Feng Jian-ye 
Published: March 2020

Abstract
Magnetic sensitivity is one of the research contents of environmental adaptability of fiber optic gyroscope (FOG). Based on the mechanism of the magnetic sensitivity of FOG, this paper sets forth the technical scheme of FOG magnetic sensitivity test system in detail, including completing the demands of measuring parameters such as the error coefficient of magnetic field, hardware scheme and software design. It is of great significance to act as a platform for the research on the magnetic sensitivity of FOG.
The Impact of Sino-US Trade Friction on Car Profits and Countermeasures
Authors: Zhang Yu , Tan Zheng , Yang Wenyu 
Published: March 2020

Abstract
Sino-US trade friction has caused widespread concern. A large number of enterprises have suffered heavy losses in this big country dispute, and there is an urgent need to be able to adapt to the solutions of the current era. With the outbreak of trade friction between China and the United States, the economic situation of the automobile industry in 2018 also showed an overall downturn. Most car companies’ profits were affected. Some enterprises’ economic conditions even showed the first negative growth for years, and some of them were well-known. At present, Sino-US trade friction has had a certain impact on most car companies in China, but this effect is controllable. Some enterprises have realized the continuous increase of profits by improving their own competitiveness and vigorously developing high-tech. Based on this, an early warning mechanism can be constructed to further design a response strategy from the enterprise level and the government level, and further explore whether the strategy is realistic and feasible. Specifically, enterprises must enhance their own development and competitiveness. And they should vigorously develop high-tech and keep up with the pace of the times. That is, adjust the export structure; and the government gives certain policy support to extremely difficult enterprises to help enterprises tide over the difficulties.
Risk Sharing of Political Force Majeure in PPP Projects in The Belt and Road
Authors: Zha Tongtong , Du Yaling 
Published: March 2020

Abstract
This paper identifies 12 political force majeure events through analysis the documents and literatures, and then classifies 8 key events. It is found that the risk allocation of most events is inconsistent by comparing and analyzing the risk allocation results of key events. This paper concludes that the risk allocation should be determined according to the specific circumstances on the basis of following the basic principles.
Research on Enterprise’s Total Budgeting Mmanagement in the Era of Big Data
Authors: Zhao Yeling , Wang Fangyuan , Qin Xuejia , Zhu Xinyue , Wu Ning , Chen Xiaoyan 
Published: March 2020

Abstract
With the continuous development of information technology, the application of big data has improved the efficiency and quality of total budgeting management in enterprises, and has opened up a new era of enterprise management. Based on the survey of big data and total budgeting management, this paper analyzes the impact of big data on total budgeting management of enterprises, constructs a total budgeting management system for enterprises in the era of big data, and proposes corresponding safeguard measures. The research results can provide a reference for enterprises to implement total budgeting management in the era of big data.
An agricultural audio retrieval method based on inverted index of silence word
Authors: Song Yue , Tao Sha , Ren Yanzhao , Liu Xinliang , Gao Wanlin 
Published: March 2020

Abstract
With the popularization of Internet and multimedia technology, a large amount of agriculture-related audio information is rapidly accumulated and widely used. The method of keyword matching retrieval for text data content describing audio files can no longer meet the need of agricultural audio files retrieval in terms of retrieval efficiency and content depth. In view of the above problems in agricultural audio retrieval technology, this paper proposes an audio retrieval method based on inverted index of silence word. In this method, a new hybrid retrieval model combining representation retrieval and semantic retrieval is designed and used. The experimental results show that the recall rate and precision rate of this method are above 99.5%, and the average retrieval time is less than 1s. Therefore, this method greatly improves the efficiency and the accuracy of the audio information retrieval, and can be used for rapid retrieval of agricultural audio.
Multi-QoS adaptive routing algorithm based on SDN for satellite network
Authors: Shi Xiaodong , Li Yongjun , Zhao Shanghong , Wang Weilong 
Published: March 2020

Abstract
With the development of communication services, satellite network services have developed from the traditional single type of services to multiple types of services. Different types of services need to meet different Quality of Service (QoS) requirements. The traditional satellite network algorithm does not distinguish the services, so the high QoS service in the network cannot get timely service. However, the architecture of Software Defined Satellite Networking (SDSN) can solve this problem well. The controller in the SDSN has a global view and can obtain the node and link information of LEO satellites. Therefore, the SDSN can more effectively meet the demand of data service for QoS. In this paper, a satellite network architecture based on Software Defined Networking (SDN) is firstly established. Then an adaptive routing algorithm that can meet various QoS requirements is proposed. The final simulation results show that compared with SDRA algorithm and Dijkstra algorithm, this optimization algorithm has better performance in QoS satisfaction rate and bandwidth utilization.
CiMC: A Computing-in-Memory Controller for Memristive Crossbar Array
Authors: Bu Kai , Li Zhiwei , Wang Wei 
Published: March 2020

Abstract
The significant challenges for the exascale system are the relatively limited computational resources and data movement between processors and memories. Memristor has the potential to build a universal digital nonvolatile computing system to break the energy-efficiency bottleneck caused by the separation of storage and processing in the traditional computing framework. Computing-in-Memory(CiM) based on memristor is a potential approach to addressing the data transfer bottleneck between processor and memory in a computing system. CiM could reduce or even remove the data movement between processors and memory. The unique properties of Memtistior allow both logic and memory function within an element, opening up the possibility of directly computing on the data stored in memory. We propose a Compute-in-Memory Controller, a design for computing and storing in a memristive crossbar array. Both logic operation and arithmetic functions are implemented with the controller. We also propose a two-layer instruction set to perform CiM functions, which addresses the question of how a CiM memory could be integrated into a general-purpose computing system.
Adaptive Link Parameter for V2X Communication in Predictable Channel
Authors: Jiang Xiaoming , Tong Xin , Wu Hao , Fang Jingru , Du Xue 
Published: March 2020

Abstract
In the internet of vehicles (IoV), periodic beacon messages carry the function of traffic safety data interaction. However, when traffic density increases, these beacons will cause channel congestion. To solve the problem, an adaptive link parameters (ALP) assignment protocol based on predictable channel condition is proposed. The channel condition is estimated by traffic density, signal to interference plus noise ratio and channel busy ratio. According to the prediction of channel condition, beacon broadcast interval, power and modulation coding scheme are assigned. Congestion is avoided by controlling these link parameters. Performance of ALP is evaluated in the OMNET simulation platform. Results show that: 1. Packet delivery rate and latency are guaranteed in both congestion and idle channels. 2. Broadcast coverage and successfully received beacons number are improved in idle channel. 3. Channel utilization is high while avoiding channel congestion.
Evaluation on the Social Benefits of Power grid enterprises’ Investment Based on the Fuzzy Matter-element Model
Authors: Lu Yan , Lv Ke , Yuan Jingzhong , Li Hongjian , Wu Luofei , Peng Sha 
Published: March 2020

Abstract
Bearing the major political responsibility of constructing, operating and developing the state power grid, and the important social responsibility of optimizing the allocation of energy and resources, guaranteeing the national energy security and promoting the development of the national economy, power grid enterprises should not ignore the social benefits when evaluating their investment projects. In this paper, the evaluation indicator system for the social benefits of power grid enterprises’ investment is constructed first, then the combination weighting method is used to assign weights to the indicators and the comprehensive evaluation on the social benefits is carried out after the comprehensive evaluation fuzzy matter-element is established.
Recent Insights into Plant-Pathogens Interactions through Proteomics Approaches
Authors: Wang Shanshan 
Published: March 2020

Abstract
Plants are vulnerable to adverse living conditions, frequently suffering from a variety of pathogens. A series of defensive events occur rapidly in plant cells, including complex biochemical and physiological responses. Several studies have been performed in plant–pathogen interactions researches. In this field of investigation, proteomics technology, has contributed to the understanding of pathogenicity strategies in pathogens, as well as the defence mechanisms in plants. Recently, the proteomics approach has drastically expanded due to some biological questions can only be addressed at the protein level. Its application is becoming a more powerful functional genomic tool and allows for a global perspective in plant–pathogen interactions. This review provides a brief overview of the current methods and progress of proteomics in the research of plant–pathogen interactions. In addition, relevant protein function and expression profiles are also reviewed.
Evaluation of acute colitis induced by dextran sulfate sodium in C57BL/6
Authors: Tang Hailin , Wang Jinke 
Published: March 2020

Abstract
Dextran sulfate sodium (DDS)-induced acute colitis in C57BL/6 mice is essential for several research aspects, but the inducing condition should be optimized with the purpose of different study. In this study, C57BL/6 mice drank water with 5 (w/v) % DSS dissolved for 7 days to induce acute colitis, which were evaluated from three aspects, including body weight change, colon length and histopathological changes. On day 8, the inflammation response to DSS treatment showed in the colon of C57BL/6 mouse. Compared with the control group, 5% DSS treatment decreased the weight of mice after drinking for 3 days, with Disease activity index (DAI) score corresponding to the pathological manifestations (p < 0.001). The colons were shorter significantly (p < 0.001) compared with control group. Partial colon of DSS-treated mice under H&E staining displayed severe inflammatory manifestations. In conclusion, this study constructed a successful acute colitis model, which can be a reference for others to do some studies related.
Proteomic profiling of salmonella under berberine stress
Authors: Wang Lei , Tian Ruxiang 
Published: March 2020

Abstract
Drug resistance of pathogen raises severe problems these decades since the antibiotic abuse. The need to explore the adaption mechanism of pathogens to antibiotic and develop new drugs is urgent. In this experiment, we explore the proteome of Salmonella enterica serovar Typhimurium under stress of berberine to study the adaption mechanism of S. Typhimurium to berberine. After proteomicanalysis, we found that energy metabolism-related proteins and flagellar proteinswere up-regulated and ribosome proteins were down-regulated under berberinepressure, revealing the potential mechanisms of growth inhibition of berberine to Salmonella. The possible inhiting mechanism include three parts: 1. The metabolismof S. Typhimurium was disturbed by Berberine; 2. Berberine has a negative effect on ribosomes of S. Typhimurium; 3. Berberine destroys the flagella of S. Typhimurium.
Form location and extraction based on deep learning
Authors: Zhang Zhen , Zhang Dengyin , Jin Tianyu , Zhang Min 
Published: March 2020

Abstract
To obtain users’ information on form images with different types and resolutions, a form location and extraction method based on deep learning is proposed in this paper. We adopt two classification models to better the detection accuracy: model A is applied to detect the smallest rectangular area containing the main information; model B recognizes users’ names, phone numbers and addresses. Especially, the proposed scheme with the certain anchor sizes and positive sample selecting method achieves 82.44% accuracy on the challenging dataset from reality.
Maximizing Revenue Resource Allocation Algorithm for Power Communication Network Service Providers
Authors: Li Zhi , Long Fangjia , Xia Hanlin , Zhang Jing 
Published: March 2020

Abstract
In order to improve the revenue of power communication network service providers, this paper first constructs a power communication network resource allocation model composed of self-built service providers, third-party service providers and demanders, and models resource allocation problems in power communication networks. Secondly, the Jacobi iteration formula of service capability is derived, and the optimal resource allocation algorithm of service provider is proposed. In the simulation experiment, it is verified that in the competing environment including the self-built service provider and the third-party service provider, the resource allocation of the power communication network has achieved Nash equilibrium in terms of service capability, and when the third-party service provider is introduced, the capital investment of network resources is reduced and the benefits of service providers is increased.
Knowledge Map Analysis of Trade Union Informatization Construction Based on CiteSpace
Authors: Zhao Lili 
Published: March 2020

Abstract
This paper uses knowledge atlas to analyze the current research status, development trend and current research hotspots in the field of trade union informatization, and uses CiteSpace V knowledge atlas software to visualize and analyze the documents retrieved from CNKI database. Through the analysis, we can find that the information construction of trade unions in China shows a trend of overall fluctuation and rise, and the related research has reached a peak in 2012. After that, the information construction of trade unions in China has focused on several research topics, such as archives management and affairs management, while the overall information construction of archives and other research topics are as follows. It is the hotspot and frontier of information construction of trade unions in China at present and in the future.
Streaming information integration unit for mass customization
Authors: Yang Liu , Ding Xiangqian , Hou Ruichun , Tao Ye , Yang Ning 
Published: March 2020

Abstract
With the development of the information industry, there are a large number of software systems in enterprises. Due to the lack of top-level design, the data assets in these systems have formed data silos. Under the trend of mass customization production, it is of great significance to combine factory manufacturing data with user data to connect traditional information silos into user-centric intelligent production lines. Traditional offline batch processing tools cannot real-time and automated decision-making in mass customization. Based on the streaming programming model and distributed computing technology, this paper proposes a streaming information integration unit for mass-customized industrial Internet platforms. This unit provides information sharing capabilities in the process of enterprise information management, eliminates information blind spots in the service and workshop layers, and integrates internal information resources of the enterprise. Through the realization of two-way real-time transmission of production information, the user experience is improved and the delivery cycle of mass customization is shortened. In addition, data acquisition tests are performed using factory line temperature sensor data. The experimental results show that compared with the traditional batch processing scheme, the acquisition delay of this scheme is much lower than that of traditional batch processing tools, which provides a feasible solution for information integration in mass customization systems.
Risk of credit assessment of Chinese bank of commerce based on KMW model and its empirical research
Authors: Dai Kaichuang 
Published: March 2020

Abstract
Taking Chinese commercial banks credit risk into account, we analyse a situation of many listed commercial banks. Based on the sample Banks’ financial data in recent years, an analysis of measurement model of risk of credit, using the KMV model to measure bank’s risk of credit, and monitor the model of our country commercial bank risk of credit measurement in practical, to find a suitable way for the reality of our country’s risk of credit model to enhance the competitiveness of Chinese commercial banks.
Introduction to Eva Method and Corporate Valuation - taking Tsingtao Brewery as an Example
Authors: Fan Wen 
Published: March 2020

Abstract
EVA (Economic Value Added) method, namely the performance evaluation method of Economic Value Added, is a method of business performance proposed in view of the defects of traditional accounting profits. The advantage of EVA method is that it reflects the value-added income obtained by shareholders from business activities. Generally speaking, EVA is equal to the balance of the enterprise’s after-tax profit after deducting the cost of equity capital and debt invested. Taking tsingtao beer as an example, this paper analyzes the enterprise valuation by EVA method.