bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Positioning Accuracy of Passive Acoustic Positioning System Based on Feature Matching in Air
Authors: Peng Yan , Chen Kejian , He Jianfeng , Huang Wei , Xiao Xiu , Xiao Ke 
Published: June 2021

Abstract
Passive acoustic localization is an important interdisciplinary research branch which combines acoustics, communication and signal processing. Passive acoustic positioning system, as an important part of battlefield sensing and monitoring system, has been paid more and more attention. Due to the disturbance of battlefield and other environments and the existence of measurement errors, the positioning accuracy often cannot meet the requirements. Passive acoustic positioning system, as an important part of battlefield sensing and monitoring system, has been paid more and more attention. Due to the disturbance of battlefield and other environments and the existence of measurement errors, the positioning accuracy often cannot meet the requirements. In multi-sensor passive location, the measured data of each array element is not only related, but also compensatory and redundant, so some people use the optimal data fusion algorithm as post-processing algorithm to improve the positioning accuracy. In this paper, the positioning accuracy of ground passive acoustic positioning system is analyzed based on feature matching method, and some useful conclusions are drawn.
Research on the Relationship Between H Index Ranking Evaluation Method and Comprehensive Ranking Based on Big Data Statistics
Authors: Yang Shufen 
Published: June 2021

Abstract
The h index of universities can quantitatively calculate the scale of high-level scientific research personnel in universities, and evaluate the academic influence of universities from a new perspective. It has the advantages of simplicity, intuition, and visibility, but there are also some problems. Based on this research background, the paper uses big data statistical methods to conduct an in-depth theoretical analysis of the problems existing in the h-index of universities. The results show that the h index and other ranking indexes are effective in the academic evaluation of colleges and universities. And the correlation analysis between their comprehensive rankings and various evaluation indicators shows that the correlation between the rankings of various indexes and the comprehensive rankings is higher than that of SCI included rankings.
Semantic keyword search based on information entropy
Authors: Lou Ying , Zhong Feng , Zhang JinXiang , Li Qian 
Published: June 2021

Abstract
Keyword search is still the most effective means for users to obtain information. In the era of massive data, more and more structured and semi-structured data can be directly accessed by users. Different from the web data and text data, structured data and unstructured data contain a lot of semantic information, which can improve the accuracy of search results. Based on the theory of information entropy, we calculates the information entropy of semantic information to determine the semantic relevance of keywords, and then uses the degree of relevance between keywords and semantics, finally constructs a semantical model based on information entropy. Final experiments prove the effectiveness of our model.
Research on a Computer Aid Risk Control System Using Classification Capabilities of Support Vector Machines
Authors: Tian Jia , Hu Naiyue , Li Xin , Zhang Fei 
Published: June 2021

Abstract
The paper proposes the use of support vector machines to establish a financial early warning system and a method for financial risk monitoring, gives a financial evaluation index system and its quantitative methods, and uses the classification capabilities of support vector machines to establish a financial early warning model. At the same time, the paper explores and studies the combination of enterprise group’s financial risk identification, assessment, response and management information system, and proposes an enterprise group’s financial risk control information system. Through experimental comparison, the model based on the support vector machine has good consistency with the experimental data, which is in line with the expected results.
Recurrent Pattern Aware Multiphase Flow Soft Sensor Model
Authors: Wang Luyao 
Published: June 2021

Abstract
Given data captured from multiphase flow industrial process which has non-stationary and dynamic characteristics, it’s difficult to predict the dominant variables precisely via traditional soft sensor models. In this paper, we propose RP-LSTM (Recurrent Pattern Aware Long Short Term Memory) model, a soft sensing method that takes both dynamic of time-sequence and pattern mining of industrial process into account. In this way, we can fully utilize limit model capacity, and enhance model’s knowledge on recurrent data stream patterns. Experiments on real data set demonstrate that RP-LSTM out-performs traditional sequence deep learning models by a significant margin.
Design of Intelligent Logistics Car based on STM32
Authors: Liu Le , Xie Jiawen , Wu Wenxin , Du Gang 
Published: June 2021

Abstract
In the increasingly developing logistics industry, the application of intelligent logistics cars is becoming more and more common. This paper mainly introduces a design scheme of intelligent logistics cars based on the STM32F103ZET6 single-chip microcomputer and OpenMV programmable camera. Its main process is as follows. First, through OpenMV, the car can scan a QR code to read relevant information of the task. Then, OpenMV recognizes the color of the object, and the single-chip microcomputer controls the manipulator arm to grab the object of the corresponding color. Next, the car will carry the object to the designated position along the designated route. Finally, the process is repeated several times until the delivery task is completed. The study of intelligent cars has very important practical value and theoretical significance.
Structure optimization design of transmission system of shearer cutter based on genetic algorithm
Authors: Xu Weipeng 
Published: June 2021

Abstract
As one of the mainstream equipment of fully mechanized mining equipment, shearer is a large complex system with the functions of breaking coal and transporting coal. It is an important milestone for China’s coal industry to move towards modernization and mechanization. In order to adapt to the complex working environment and better meet the needs of social development, the optimization of spatial structure and bearing capacity of coal machine has become the focus of research. Based on genetic algorithm, taking MG500/1170-AWD1 electric haulage shearer as an example, this paper takes the weight function of maximizing the bearing capacity and minimizing the volume as the optimization objective to optimize the structure of the cutting part transmission system, and analyses the rationality of the scheme by comparing the objective function before and after optimization, so as to provide technical support for the R & D department.
Research and Analysis of Electronic Commerce in Network Platforms with Mathematical Model and Cloud Computing
Authors: Han Bing , Gao Renhao , Li Jia , Chen Haonan 
Published: June 2021

Abstract
With the rapid development of science and technology in the world today, the development of the Internet is even more remarkable. Especially under the stimulation of continuous breakthroughs in the computer field, the network economy, as an important part of the knowledge economy, is growing rapidly and has become a new driving force for world economic growth. In order to meet the needs of the development of the network economy, traditional enterprises should implement e-commerce to be able to quickly respond to customer needs, improve business processes with customer relationships, provide personalized services, shorten sales cycles and sales costs, increase revenue, and develop markets, to enhance the competitiveness of enterprises.
The Calculation and Mathematical Modelling of Melbourne Crown Risk by Linear Regression Analysis
Authors: Jing Yihao 
Published: June 2021

Abstract
To improve the performance and meet the rising tourist demand of luxury hotels, Crown Resorts Ltd. proposed to implement a new project, which is supposed to build a 6-star hotel resort with VIP gaming facilities in an iconic building at Barangaroo South (Jones Lang LaSalle 2013). Because the goal of Crown plans to build a luxury hotel with a casino, so the company requires a large amount of capital to launch the new project. The best financial solution to raise capital is to issue the bond. Therefore, according to the current market condition and previous experience of issuing Crown Note I & Crown Note II, here are our recommendations for the most beneficial strategy to issue a new bond--Crown Note III.
Research on Satellite Positioning Based on Total Least Squares Algorithm
Authors: Kong Ting , Wang Xiaolan , Ma Lihua 
Published: June 2021

Abstract
In the technology of satellite positioning, positioning observation equation is constructed by measuring pseudo distance between the satellite and the receiver and the satellite position coordinates from navigation message, then the equation is solved and positioning results are obtained. The algorithm proposed in this paper is to use total least squares method to calculate initial value, and then someone carry out the Taylor series expansion on the basis of it, and then use weighted least squares in the iterative process to get the calculation results. Finally, user positioning is achieved. The algorithm is simulated by using observation series of Fangshan GNSS station in Beijing, and the simulation results are compared with the results obtained by the least squares algorithm. The results show that the satellite positioning algorithm based on total least squares is more accurate and faster in positioning calculation.
Design and Implementation of GNSS Receiver Based on SoC Platform
Authors: Pei Dongbo , Liu Xianyang , Tian Xiaobin , Liu Lei , Yu Qian , Li Fengyi , Gu Jian 
Published: June 2021

Abstract
Benefit from the developed of multi-channel and multi-mode navigation SoC devices, the satellite-borne GNSS receiver scheme with highly integrated SoC platform as the baseband core device has gradually become the mainstream. Based on the NS962 device developed by Space Star Technology CO., LTD, the redundancy design of hardware double backup is proposed. This design is composed of baseband processing module, power management module and interface module. Results show that: the prototype weighs about 3.15kg; size is 198mm × 190mm × 89mm; power consumption is about 17W. It has the capability to process BD B1I/B3I, GPS L1CA/L1P/L2P single and the reliability over 8 years meets the requirement of >0.985. This design provides a new choice for the miniaturized and low-power GNSS receivers.
Studying the Growth Prediction Model of Eucalyptus Research based on Multivariate Statistical Analysis
Authors: Yang Zhe , Wu Weikun , Chen Jingshang , Lu Yongsheng , Yao Jianan 
Published: June 2021

Abstract
Forests have ecological functions such as purifying the atmosphere, fixing carbon and releasing oxygen, conserving water sources, preventing wind and sand invading, and harbouring biodiversity. At the same time, they provide human beings with materials and energy, and thus are important for economic and societal development. However, in our national power grid system, trees might cause interference on power transformation lines. Furthermore, if these circumstances cannot be responded timely, huge economic losses would happen. Therefore, research of forest growth models can more accurately predict the growth and the dynamics of forests, as well as provide a reference for the power warning system. This study conducts a forecast simulation study on the growth of eucalyptus in Guangzhou province, China, proposes a multivariate statistical analysis to predict tree species growth, and then compares its performances with traditional Logistic model results. We found that our multivariate statistical model can effectively consider various environmental influencing factors, thus predict tree height excellently (R2=0.9776), so as provide new foundations for tree height prediction.
Mechanical properties of multilayer coatings TiAlN
Authors: Kolesnikov V I , Suvorova T V , Belyak O A 
Published: June 2021

Abstract
This study aims to examine multilayer TiAlN coatings. The mechanical properties of the coatings were obtained based on micromechanics methods and finite element modeling of a representative volume of a layered medium in ANSYS. Our findings are in line with the data on coating nanoindentation. Besides, we have succeeded in finding the dependence of the mechanical properties of multilayer coatings on various Al/Ti ratios.
Development of apparatus and technology for creation of a superconducting niobium coating on the cryogyroscope rotor
Authors: Okunev M A , Dubrovskiy A R , Makarova O V , Kuznetsov S A 
Published: June 2021

Abstract
The processes of creating a superconducting niobium coating on a cryogyroscope rotor were considered. The conditions for the electrodeposition of superconducting niobium coatings from molten salt on rotors of a cryogenic gyroscope were determined. Niobium coatings obtained from molten salt were electrochemically polished and subsequently protective coating of niobium pentoxide was electroformed. The processes occurring during the electrodeposition, electropolishing and electrooxidation of niobium were considered. The equipment and technology for creating a superconducting niobium coating on the rotor of a cryogenic gyroscope was developed.
Chevrel phase-based solid lubrication coating for wear resistant electrocontact friction pairs in vacuum
Authors: Sergeev V P , Sungatulin A R , Kalashnikov M P , Sergeev O V , Talgat M T , Neufeld V V , Yu Zharkov S 
Published: June 2021

Abstract
The work comparatively studies the wear kinetics of copper friction pairs with Chevrel phase-based coating (Cu-Mo-S) and without it in vacuum of 1.5x10−3 Pa. The coating is deposited on test pads by the ion-plasma method. The tribological investigations scheme were used the “disk – coated pad”. The detected falling of the wear rate of the friction pair with the coating is explained by the change of the adhesive wear mechanism to fatigue one.
Investigation of biological and photocatalytic activity of nanopowders metal oxides with nanosized silver coating
Authors: Sokovnin S Yu , Il’ves V G , Malova O A , Kiseleva M A , Ulitko M V , Sultanova T R 
Published: June 2021

Abstract
Was carried out the assessment of photocatalytic, cytotoxic properties on cells and antibacterial properties against E. coli and Staphylococcus of oxides nanopowders with nanoscale silver coating. Is shown the promising use of such composites as a photocatalytic agent, as well as in medicine.
Application and Implementation of Big Data Visualization Technology in Network Security System
Authors: Tang Chao , Zhang Jie , Wang Sheng , Zhang Linghao , Wang Hai , Liang Huihui 
Published: June 2021

Abstract
In order to improve the safety and reliability of the information system of the State Grid, platforms that apply technologies such as big data and artificial intelligence to realize the safety monitoring and management of information systems have been widely used. At the same time, the application of visualization technology can fully display the current security status and situation of the network, as well as the intrusion and attack process of various attacks and threats. This paper proposes to apply big data visualization technology to realize asset visualization, behavior visualization, and attack visualization, and to show the risk status, intrusion view and process of the entire network.
A Three-stage DEA Study on The Efficiency of Global Intelligent Innovation Based on Big Data
Authors: Guo Xingchen , Ma Xiaoyu , Zhang Linxuan , Li Xiao 
Published: June 2021

Abstract
With the global intelligent technology coming, governments and organizations of various countries are speeding up the strategic layout of intelligent technology and competing to occupy the strategic commanding heights in global intelligent innovation. In this study, 101 countries from 18 regions were selected as samples. Based on the spiral collaborative innovation theory, from the perspectives of politics, industry, research, study and application, the number of Top 600 universities in the world majoring in computer science, R&D investment of hightech enterprises, and e-government investment level were selected as the input variables of intelligent innovation. Intelligence number of published papers linked with intelligent innovation, national high-tech exports, the government maturity level of artificial intelligence as the output variables. We use those input and output data to do the first stage DEA. Then, we choose the set up the number of national science and technology award, the average GDP growth rate nearly three years, intelligent technology industry in compensation levels, ICT development level as 4 environment variables, to figure out SFA analysis as the second stage DEA. Next we use three-stage DEA method to research global intelligent innovation efficiency with and without environment variables, and we find intelligent innovation efficiency presents obvious space characteristic: North America, Oceania and other regions to eliminate environment variables before and after the intelligent innovation efficiency is very high, West Africa, South Asia and other regions in the environment variable influences intelligent innovation efficiency improved significantly, and finally this study to provide path for intelligent innovation low efficiency region to improve their innovative efficiency of intelligent innovation development.
Application of big data in bauxite provenance: A case study of Yanlong area in Western Henan, China
Authors: Sun Fengyu , Cao Gaoshe 
Published: June 2021

Abstract
The application of big data is of great significance to the quantitative study on provenance. In this paper, taking the bauxite in Yanlong area, western Henan, as an example, the detrital zircon U-Pb age big data obtained by Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) are used to study the bauxite provenance. The results show that the Caledonian and Sibao Jinning zircons are from the North Qinling Orogenic Belt (NQOB). In contrast, the Lvliang and Wutai zircons may be derived from karst insoluble of Majiagou Formation limestone.
Discursive Construction of Chinese Literary Classics Based on Big Data Analysis in Global Communication
Authors: Yang Chunye , Xu Defeng 
Published: June 2021

Abstract
Recent studies illustrates that big data analysis now plays a growing importance on business, politics, technology, academic researches, discursive construction of a nation, etc. Big data analysis was applied in broad fields, including translating Chinese literary classics. By using a qualitative method, this article focuses on current studies on big data analysis and Chinese literary classics, impact of big data on discursive construction of Chinese literary classics, and strategies for discursive construction of Chinese literary classics in global communication, so as to better translating Chinese literary classics, transmitting Chinese voices, and constructing discursive power of Chinese literature in the western world. The research finds that big data analysis is a significant method to construct discursive power of Chinese literary classics and there’s still a long way to go before it is finally constructed.
An MEWMA control chart based on multivariate Poisson distribution data
Authors: Xiao Yizhuo , Zi Xuemin 
Published: June 2021

Abstract
Count data appears widely in finance, biomedical science, psychology, actuarial insurance, road safety and many other areas of life, and it is often multivariate. In this paper, we consider using the multivariate exponentially weighted moving average (MEWMA) control chart method to monitor count data under the assumption of multivariate Poisson distribution, which is derived by He [1] from another form of multivariate gamma distribution. We illustrate the proposed scheme by numerical simulation. In this paper, we provide two tables of average run length (ARL) values of the MEWMA control chart with different parameter shifts. The performance of the proposed control chart is evaluated by the ARL, given a parameter shift occurred, which is able to deliver satisfactory control efficiency.
Research status and Frontier hotspots of 5G technolongy based on visualization
Authors: Mao Yuanyuan 
Published: June 2021

Abstract
The 5G era has come, Scholars’ research focuses on 5G technology and applications. Based on the 5G technology-related literature data collected by the WOS, Derwent Innovations Index, this article uses CiteSpace V visualization software to find and explore research hotspots and frontier trends through keyword clustering analysis, mutation detection. Based on the above analysis, it is intended to provide theoretical reference for scholars in this field.
Date Analysis Of Consumers’ Purchase Intention Based On The Safety Of Food Plastic Packaging Materialst
Authors: Kang Jie , Wang Dianhua 
Published: June 2021

Abstract
With the rapid development of food technology and the packaging industry, frequent food contact packaging safety issues. This paper uses questionnaire survey method to obtain related data and uses methods such as multivariate ordered Logistic model to explore the relationship between food packaging material safety and customers’ purchasing intention. It is found that consumers are short of knowledge about food packaging. Education level, food packaging safety knowledge, and perceived risk have a negative impact on consumers’ purchasing intention plastic packaging materials and food. And there is a positive correlation between health status and consumers’ purchasing intention of buying food with plastic packaging materials. We should strengthen the promotion of plastic packaging materials and food, strengthen the risk control of plastic packaging materials and food, and improve the safety management of plastic packaging materials and food.
Peak density algorithm based on KD-tree optimization
Authors: Huang Xueyu , Xiang Chi 
Published: June 2021

Abstract
In view of the high time complexity of the density peak algorithm, it is necessary to manually confirm the clustering center according to the decision graph. A density peaking algorithm KT-DPC based on kd-tree optimization is proposed. The algorithm defines the local density p through K-nearest neighbor and uses kd-tree to accelerate the local density p and distance 8. In addition, in the confirmation stage of clustering center, a clustering center confirmation strategy (C2BD, clustering center confirmation based on difference) is proposed. The difference between adjacent y is calculated by arranging y=p*S in ascending order, and the boundary between clustering center and non-clustering center is found according to the change of difference. This method automatically confirms the clustering center of the algorithm, avoiding the problems of strong subjectivity and insufficient clustering accuracy caused by manually confirming the clustering center. Experiments on multiple UCI public data sets show that the running time and clustering accuracy of the KT-DPC algorithm under low-dimensional data are better than traditional DPC algorithms, KNN-DPC and other improved algorithms.