bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and Key Technology of Coal Geology Cloud Based on Openstack
Authors: Miao Lintian , Duan Zhonghui , Lv Tingting , Zhang Jianjun , Yang Yang 
Published: November 2020

Abstract
In order to promote the information and digital construction of coal geological work, promote the rapid development of green coal mines and smart coal mines. In this study, we developed the Coal Geology Cloud (CGC) using key technologies such as elastic computing, mass storage of map data, and cloud message queues. The research and development process is based on the secondary development of Openstack and mature cloud computing platform technology. The researchers adopted the four-layer technical architecture of Iaas, PaaS, SaaS and Client. At the same time, it combines coal mine GIS series software and cloud computing IaaS platform to form an object-oriented Coal Geology Cloud GIS solution. CGC realizes the collection, aggregation, storage, analysis, processing and display of coal geology and related information, and provides convenient online cloud services for the exploration, development, research and management of coal resources.
L1-Finite Difference Method for Inverse Source Problem of Fractional Diffusion Equation
Authors: Zhang Ruiping , Bai Hao , Zhao Fengqun 
Published: November 2020

Abstract
The numerical solution of inverse source problem for time fractional diffusion equation was studied: the time fractional derivative was is discretized by L1 algorithm, and the space derivative was approximated by central difference. The L1-finite difference scheme of the inverse source problem was constructed with the accuracy of O(τ
2–α
+ h
2). By adding a random disturbance to the final value and combining with the discrete scheme of L1-finite difference method, the algorithm flow was given. The effectiveness of L1-finite difference method for solve the inverse problem of time fractional diffusion equation is verified by numerical examples. The method provides an effective reference scheme for the numerical solution of the inverse problem.
A Circle Chart of the Rectangular Window Transformation of Fourier
Authors: Parfentyev Nikolay , Trukhanov Stepan 
Published: November 2020

Abstract
Restoration of the original time signal at the reverse window transformation of Fourier can be carried out, both on the real and imaginary part of the Fourier spectrum of direct window transformation. Unlike the classic Fourier transformation in window transformation, information about the signal phase becomes redundant. Either component of the direct signal conversion Fourier contains complete information about the original time signal. The amount of squares of both components are equal to each other. This should ensure that the component types are matched at the entrance and exit of the reverse conversion block. The inconsistency of the component at the in and exit of the reverse conversion gives a time signal with the rearranged frequency components. The window direct Fourier conversion of the zero phase harmonic signal and phase π/2 gives a single-polar function with amplitude 1 and a bipolar with 0.724611 amplitudes, which are independent of integration time, corresponding to the maximum filling of the integration window. At the same time, the ratio of stripes of unipolar and bipolar functions is 1.05, which normalizes the amplitude of the bipolar delta function to a magnitude of

1
/

2

.
Simultaneously Identify the Leading Coefficient and Right-hand Side in a Parabolic Equation
Authors: Su Lingde , Vasil’ev V. I. , Jiang Tongsong 
Published: November 2020

AbstractIn this article, we propose a new method for the numerical solution of a kind of coefficient inverse problem, in which the time dependent leading coefficient and the right hand side in a parabolic equation need to be identified simultaneously, based on additional information of the solutions at interior points in the computational domain. To solve the nonlinear problem, we use linearized second-order scheme for linearizing the quadratic nonlinear term in time and finite element approximation is used in the space. Based on a special decomposition, at new time level, the original problem is transformed into three standard elliptic problems. The results of numerical experiments are presented to confirm the capability and efficiency of the proposed computational algorithm.
Multi-order Accurate Stabilized Tracking System with Multi-DOF under Influence of Ocean Waves
Authors: Zhang Guoguang , He Qiyu 
Published: November 2020

Abstract
In order to avoid influence of ocean wave motion to the tracking system, a tracking platform with multi-DOF and multi-level accurate stabilized system is designed. The position of platform and load on multiple degrees of freedom can be compensated, so as to meet the required stability conditions and realize the stable tracking of the platform to the target. The stability of the platform is analyzed and simulated. The simulation results show that the control effect of the stable platform is good, and the stability effect of roll and heave of the platform is obvious, which can slide in two degrees of freedom at XY directions, with engineering application prospect.
The Influence of Biot Coefficient on In-situ Stress Field in the Process of Oil and Gas Production in Low Permeability Oilfield
Authors: Liang Yingjie , Li Zian , Sun Yufei , Zhang Lu , Liu Xiaobo 
Published: November 2020

Abstract
Biot coefficient is one of the important parameters that describe the elastic deformability of pores in rocks. Numerical simulation is applied in this paper to study the effect of Biot coefficient on the in-situ stress field disturbance in the process of oil and gas production in low permeability oilfield. And study results reveal the effect of variations of Biot coefficient on the in-situ stress field disturbance in the process of oil and gas production in low permeability oilfield: the value of principal stress decreases with the increase of Biot coefficient; and the deflection angleof principal stress before and after production shows linear increase with the increase of Biot coefficient.
Improved TOPSIS Based on IAHP and Entropy for Threat Assessment
Authors: Qu Shi , Yang Zichen , Xu Tinxin , Liu Jianxun 
Published: November 2020

Abstract
Aiming at the problem of threat assessment for ballistic missile, a comprehensive assessment method of ballistic missile based on Improved TOPSIS is proposed to assess and rank the threat of incoming ballistic missile, which provides the basis for early warning resource scheduling, development of interception strategy, implementation of fire interception and other operations. First of all, the paper analyzes the shortcomings of TOPSIS method, and improves it in two aspects: one is the improvement of data standardization, the other is the improvement of index weight calculation method. The experimental results show that, compared with the typical methods such as fuzzy set and Bayesian network, the comprehensive threat assessment method of ballistic missile in this paper is more scientific and reasonable.
Cascaded Dimensionality Reduction Method and Its Application in Spectral Classification
Authors: Dong Huifen , Pan Jingchang 
Published: November 2020

Abstract
The classification of the high-dimensional spectral is one of the important study domains in the astronomy. However, the curse of dimension problem restrains the performance of the methods to classify the spectral data. In this paper, the cascaded dimensionality reduction, combining with the virtues of the principal component analysis and t-distributed stochastic neighbour embedding, is conducted to improve the performance of classification methods for spectral data. In the cascaded dimensionality reduction, the PCA is employed to pre-reduce dimensions of spectral data for reducing redundant information, under the constraint of preserving the information integrity as far as possible; T-SNE highlights the differences among the samples with different labels, and outputs target results after the dimension reduction. The support vector machine in conjunction with the cascaded dimensionality reduction is applied to classify the spectral data, and its performance is compared with the PCA based SVM and T-SNE based SVM. Experimental results demonstrate that the cascaded dimensionality reduction assists the SVM obtaining better performance than PCA and T-SNE.
Research on the Interactive Mechanism and Coordinated Development of Evolutionary Game between Dalian Free Trade Zone and Hinterland Economy Based on the Advantage of Port
Authors: Xu Mingqiang , Dong Dahai , Ma Te 
Published: November 2020

Abstract
Dalian Free Trade Zone has realized the development direction of taking service trade as the core, international division of labor as the goal, and new opening strategy as the guidance. However, due to the bottleneck of financial system reform and the limitation of system mechanism and policy, especially the slow pace of reform in the aspects of foreign exchange control, free floating of exchange rate and marketization of interest rate related to the free flow of capital, Dalian’s “four centers”: economic center, financial center, trade center and shipping center, the pace of construction is limited to a certain extent It is also difficult to further expand the space for the development of the liberal economy. The competition and cooperation conditions in Liaoning free trade zone are quite different from those in other free trade zones, so this paper makes an in-depth study around Liaoning free trade zone.
The Optical Method of Multi-angle Phase Triangulation for Measuring the Three-dimensional Geometry of Convex and Extended Object
Authors: Dvoynishnikov S , Kabardin I , Shepihin I , Chubov A , Krotov S 
Published: November 2020

Abstract
The paper presents a multi-angle phase triangulation method for measuring the three-dimensional geometry of convex and extended objects. The method is based on the use of two photodetectors and a light source. Measurements are performed based on the analysis of a stereo pair images obtained from photodetectors. Structured illumination is used as the analyzed texture. The proposed method improves the accuracy of measurements and makes it possible to measure the full three-dimensional geometry of convex and extended objects in an optical manner based on the triangulation principle and structured lighting.
Fundamental Lower Bounds on Number of Random Measurements for Structured Matrix Signal Reconstruction
Authors: Tian Yuan , Huang Xin 
Published: November 2020

Abstract
This paper deals with the problem of robustly reconstructing n-by-n structured matrix signal via convex optimization in random setting. The traditional vector signal model is extended to matrix model. By means of a generalized matrix width estimation and sub-differential analysis, fundamental lower bounds on number of random measurements to guarantee high successful reconstruction probability are established. In comparison with most current works, these bounds are tighter and the methods are more suitable to be generalized to dealing with high-order tensor signals.
Research on Incentive Method of Resource Sharing in VANET Based on Game Theory
Authors: Sun Shichang , Gu Xiang , Wang Jin 
Published: November 2020

Abstract
The article studies the methods of using game theory in the VANET (Vehicle Ad-hoc Network) to encourage vehicle nodes to contribute their resources to other nodes to share. Vehicles are divided into resource contributors and resource consumers. A resource sharing incentive method based on revenue value is proposed. A revenue value is added to vehicles according to a game model who contributes their resources for sharing. The vehicle nodes are divided into different levels according to the revenue values they have. The higher the level is, the more discounts are obtained when a node wants to pay for other resources. Simulation experiments show that the incentive mechanism designed in the paper can effectively encourage more vehicle nodes to participate in resource sharing.
Finite Element Analysis of Influencing Factors of Micro Round Steel Pipe Pile Based on Pure Bending Orthogonal Test
Authors: Tang Xianyuan , Wang Shihai , Guo Bin 
Published: November 2020

Abstract
Based on the pure bending orthogonal test of different diameter grouting micro circular steel pipe, the influence of the parameters such as steel ratio, steel yield strength, the type and strength of filling material on the bending performance of the grouting steel pipe pile was simulated by the finite element software. The results show that the error between the ultimate bearing capacity of the cast-in-place steel pipe pile simulated by the finite element method and the test data is between 6.4% and 13.6%, which is in good agreement and can be used for simulation calculation; under the pure bending action, the steel content of the cast-in-place steel pipe component has a great influence on its bearing capacity; the yield strength of the steel pipe has a significant effect on improving the bending bearing capacity of the micro steel pipe pile; the filling core material of the steel pipe The influence of strength on flexural capacity is less, so the core filling material with low compressive strength can be used to reduce the investment.
Variation Characteristics and Complexity Measurement of Urban Precipitation Based on Multi-scale Permutation Entropy
Authors: Liu Dong , Yan Tingqi , Liu Sicheng , Yan Ge 
Published: November 2020

Abstract
In order to better judge the complexity of precipitation, this paper took some major cities of Heilongjiang Province as the research object, and used the Mann-Kendall test and multi-scale permutation entropy theory to study the complexity of precipitation. The results show that there are many sudden change points of precipitation in cities in Heilongjiang Province, which have a strong complexity, which can provide a basis for the study of precipitation complexity. Among urban precipitation, the complexity of precipitation in Hegang City is the strongest, and the complexity of precipitation in Daxinganling is the weakest. Among them, water resources and living area have a significant impact on the precipitation complexity. This study can provide a new method for studying hydrological changes and complexity intensity in the future.
IP Geolocation Accuracy Evaluation Based on Crowdsourcing
Authors: Zhu Guangyu , Ren Guoming , Li Xiang , Li Xiaoye , Ti Yongpeng 
Published: November 2020

Abstract
IP geolocation is a crucial technology in the study of many fields, such as network measurement, fraud detection, and location-based advertising, etc. For over a decade, numerous researches and applications in this area have gained significant advances. In recent years, since more and more physical devices are connected to cyberspace, evaluating the accuracy of IP geolocation has gained much more attentions. In this paper, we first illustrate the concept and applications of the IP geolocation. Then, we design and propose an evaluation method on IP geolocation accuracy based on crowdsourcing. We evaluate the accuracy of a popular high-precision IP geolocation system and find out it reaches 98.88% correct on city-level geolocation, and the median error distance of street-level geolocation is 0.13km. Finally, the future development direction of IP geolocation accuracy evaluation is discussed.
Numerical Analysis of Wave Run-up Characteristics on Dual Non-submerged Vertical Cylinders
Authors: Ni Yunlin , Shen Yuan , Zhang Yang , Yang Hanbing , Li Yanming 
Published: November 2020

Abstract
In this paper, a numerical model is set up to solve the mild slope equation proposed by Berkhoff using the finite element method. The computational result of wave run-up on a single non-submerged vertical cylinder matches well with the analytical solution, verifying the validity of the numerical model. The effect of the spacing between two cylinders on wave run-up is discussed. The results show that the position of maximum and minimum wave run-up on the upstream cylinder is almost the same with that of a single cylinder, but when the spacing is odd or even times of one quarter of incident wavelength, the secondary maximum or minimum wave run-up appears at the both sides of the cylinder. The curves of wave run-up on the downstream cylinder is similar but smaller than that of a single cylinder.
Analysis and Application of Formal Concept in Information Science
Authors: Yang Weichuan 
Published: November 2020

Abstract
Based on Information Science, new mechanism, two types and basic characteristics of information processing are discussed in the paper. Besides, as a new method of unsteady information processing, the paper not only introduces some basic ideas, concepts, techniques of formal concept analysis (FCA) and Galois liaison but also expounds the feasibility of formal concept analysis for knowledge representation and knowledge acquisition through examples. Finally, the application and research progress of formal concept analysis in information science are further analyzed in the paper.
A Survey of High-utility Itemsets Mining
Authors: Yang Haijun , Lu Yonghua , Zhang Bolan 
Published: November 2020

Abstract
Data mining is of significance for finding useful information in massive data. Frequent itemsets mining (FIM ) and high-utility itemsets mining(HUIM) are extremely common and wide application in research and real life. For one thing, HUIM algorithm focuses on utility, which is more practical. It can be used to find high profit goods, items with user’s preference, etc. For another, the difference between utility and frequency determines that HUIM and FIM algorithms are different. In order to introduce HUIM algorithms in the round, this paper showed typical HUIM algorithms for static data and stream data separately in section 2 and section 3. Meanwhile, section 2 partitioned algorithms based on candidates generation and threshold. Section 3 showed algorithms in terms of window model which is necessary to stream data mining. Lastly, this paper made a conclusion of referred HUIM algorithms and proposed some research prospects for this work.
How to Improve the Reuse of Clinical Data-- openEHR and OMOP CDM
Authors: Li Bei , Tsui Rich 
Published: November 2020

Abstract
All medical big data reuse projects are faced with the challenging problem of collecting and transforming heterogeneous data from different sources in a distributed research network. Both openEHR and OMOP CDM are open source tools for medical data. In this paper, the principles, feasibility, implementation, and characteristics of the two main clinical data secondary use methods are compared and discussed. We analyzed two data conversion frameworks in the medical data secondary utilization project conducted in China and the United States, and summarized the experience of designing the data ETL process, and compared the principles, implementation, characteristics between openEHR-based data acquisition system and reusing medical data approach based on Common Data Model with literature. OpenEHR from the Scandinavian countries is one of promising two-level modeling approach to extract data from various medical databases. It separates the operations of medical experts and software engineers, and changes in medical knowledge can be embedded in the new prototypes without affecting the EHR system. However, some shortcomings overshadow its advantages, such as poor compatibility with medical data other than EHR, difficulties in defining prototypes, steep learning curve, and the lack of mature development tools and guidelines. We adopted a minimalist data transformation model in Xiangya medical big data acquisition system based on openEHR to solve the large-scale data exchange problem faced by the distributed clinical data center. Many experimental projects have proved the feasibility and utility of OMOP CDM for multiple, disparate health databases. This is why it is widely used for the model framework of patient-level prediction and safety surveillance, including a transformation from source data into standard vocabulary, which solves semantic interoperability; technology neutrality that does not rely on special computer technology; open community, open resources, free tools; generating aggregated analysis results directly from desensitized data, etc. Some issues should be under consideration in the use. Not all source data encodings can be converted to standard vocabulary, and there will be a loss of semantics, and concepts matching requires a lot of time and effort. The model and vocabulary were originally developed and designed for pharmaceutical safety research and clinical observation data, while the development of vocabularies in other fields is limited. In conclusion, both openEHR and CDMs are designed for exporting and reusing data from a distributed clinical database. The former is suitable for collecting data from distributed EHR systems and building medical big data warehouses, while the latter is a better model for sharing data in some decentralized medical database.
Research on a Distribution-Outlier Detection Algorithm Based on Logistics Distribution Data
Authors: Lu Sheng , He Tiantian , Zhou Qinkai , Wen Jiefeng , Liu Yang , Zhang Meixia 
Published: November 2020

Abstract
In this paper, we propose an outlier detection algorithm, which improves the existing algorithm from three aspects: the time outlier, the outlier detection of logistics distribution path, the time complexity. Aiming at the time outlier, this paper proposes an abnormal objective function based on the average speed of the logistics distribution process and realizes the detection of the outlier time of logistics distribution. In the aspect of the outlier detection of logistics distribution path, this paper combines the distance- and the angle-based outlier detection algorithms to realize the detection of the local abnormal situation of the logistics distribution trajectory. At the same time, the high time complexity of the algorithm is reduced by only retrieving the path sub-sections in the neighborhood of the proper radius. Experimental results indicate that the efficiency and speed of the proposed algorithm are better than those of the trajectory outlier detection (TRAOD) algorithm, and the proposed algorithm is suitable for outlier detection of logistics distribution.
Path Planning of UAV Delivery Based on Improved APF-RRT* Algorithm
Authors: Zhao Yongqiang , Liu Kai , Lu Gaohan , Hu Yuru , Yuan Shuwen 
Published: November 2020

Abstract
The application demand for UAV in logistics distribution is vast and its accurate and rapid path planning research has practical value. Nowadays, the RRT algorithm is one of the most popular path planning methods for UAV delivery. Although the search of RRT is fast, the planned path is generally not the optimal path. The improved RRT* algorithm improves the way, but the convergence time is long. In this paper, we proposed an improved 3d path planning method based on RRT* based on APF. We introduced gravitation and repulsion in the APF algorithm based on the RRT* algorithm in this paper, and then we added the random point generated sphere to carry out random sampling of local space. Finally, we used MATLAB to compare the simulation results of the three algorithms and verify that the improved 3d path planning algorithm is improved in the aspects of path optimization and operation time.
Research on Green Control Algorithm of Street Lamp
Authors: Yang Jinyan 
Published: November 2020

Abstract
As an important facility of community lighting, street lights can not only provide convenience for pedestrians or vehicles, but also improve the safety of the community. The power consumption of street lamp lighting is one of the important parts of shared power in the community. In order to solve this problem, firstly, we study the lighting control algorithm and establish the energy consumption formula; secondly, we analyse the energy consumption under different lighting control strategies; finally, we design a feasible intelligent green control algorithm. Theoretical analysis shows that intelligent green light control can effectively save energy and prolong the life of lamps and lanterns.