bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation of Flow through a Sudden Contraction Split into Four Parallel Round Jets
Authors: Njoroge John , Gao Puzhen
Published: November 2020

Parallel jets are of profound importance in design of nuclear reactor components as well as other industrial applications. Vertical flow through a sudden contraction split into four round jets was numerically investigated using computational fluid dynamics (CFD). Results showed that jet spacing and jet size are the main parameters influencing the resulting flow field. In the upstream, both radial and streamwise velocity profiles drastically changed on approaching the contraction plane. Downstream, the flow field remained symmetric about the main axis. Velocity decay rate was found to be influenced by jet spacing, size and mixing characteristics. The results provide useful insights into mixing of multiple confined jets.
Simulation Analysis and Research on Integrated Forming Process of Steam Pipe Nozzle
Authors: Zhang Shaojun , Zhao Donghai , Liu Zhao , Liang Shuhua , Yang Wenbin
Published: November 2020

The FORGE@ numerical simulation was used to analysis and research on the integrated forming nozzle process of the main steam pipe, and then guide sampling test plan and forming process evaluation. The results show that the maximum axial tensile stress appears in the middle of the forming process, which is on the inner surface of the extrusion deformation transition region, and the maximum radial tensile stress and equivalent strain appears at the end of the extrusion nozzle forming process, which is located in the inner surface area of the nozzle mouth, and it is easy to crack. For the weak position, it is necessary to increase the number of samples and test items to verify the overall quality of nozzle.
The Simulation and Experimental Analysis of the Gradient Temperature Forming of the Bifocal Mirror Based on Spin-casting
Authors: Fu Weijie , Ning Lianshuang , Zhang Xinming
Published: November 2020

This research employed the methods of simulation analysis and experiment to study the movement trend of the glass melt and the deviation of the junction position of the surfaces in the spin-casting process of the bifocal mirror. By comparing the measurement result of the surface shape in the experiment with the predicted result of that in the simulation, the deviation between these two results is 6.5μm. It is proved that the simulation can predict the surface shape of the mirror blank obtained by spin-casting of the bifocal mirror. Through the results of simulation and experiment, it is found that there is a significant deviation between the junction position of the reflecting surfaces and the expected one. Therefore, by changing the position of the insulation wall, the purpose of compensation for the junction position of the surfaces can be achieved. When the insulation wall was set at different positions for many times of iterative simulation calculation, the deviation of the junction position of the surfaces was reduced from 4.358mm to 3.76 μm.
CST Analysis and Simulation of Signal Integrity of Differential Transmission Lines
Authors: Lin Xueyan , Yu Guangcai
Published: November 2020

The differential transmission line has been widely used in the field of high-speed signals with its unique transmission characteristics, and it will be affected by many factors during the transmission process. In this paper, the differential transmission line is taken as the research object, and a three-dimensional electromagnetic simulation software CST is used to study its signal integrity performance parameters including characteristic impedance, loss, and crosstalk. It is found through simulation that increasing the spacing between differential pairs will reduce the crosstalk. The smaller the differential pair length, the greater the value of the insertion loss. This will improve the quality of signal transmission.
Simulation Study of a Crack Test Equipment for Solid Rocket Motor Propellant
Authors: Wang Tingyu , Xu Jinsheng , Chen Xiong , Li Meng , Guan Lushuang
Published: November 2020

To establish safety assessment criteria for solid rocket motors with cracked propellant. In this paper, a specific test equipment was designed using UG NX software. The purpose of this equipment is to simulate the flow field and structural field inside the crack when the cracked propellant was impacted by the ignition gas flow. Using FLUENT and ABAQUS software to investigate the flow field and structure field of the equipment in the process of work, thus verifying the feasibility of the experimental equipment. The result shows: There is a certain regularity in the transmission process of the pressure peak inside the crack. The transmission direction of the pressure peak does not represent the flow direction of the gas flow inside the crack. The propellant in the middle of the crack is subjected to twice the number of impacts as the crack tip. The material in the middle of the crack may fail earlier than the crack tip, and the branch of the crack may occur.
Pressure Control Strategy and Simulation of High Pressure Common Rail System
Authors: Wang Dong , Xu Zhenyu , Su Chang , Hu Jianhua
Published: November 2020

Aiming at the control of the pressure wave of the high pressure tubing, considering the different design of the pressure reducing valve, two control strategies of the pressure reducing valve are discussed, and the problems to be noted when designing the control strategy are proposed. First, the actual high pressure common rail system is reasonably simplified as the “pump-nozzle-pipe” system, then based on the relevant theory (fluid flow formula, mass conservation law and relationship between fuel density and pressure), a mathematical model is established to determine the cam angular velocity, opening time and period and threshold of pressure reducing valve, and injection interval of nozzle, these parameters have a great influence on the pressure wave, and finally using the orthogonal test method to explore the influence of these parameters on the pressure wave by computer simulation. The research shows that only the injection interval of nozzle affects the size of the pressure wave range, other parameters only affects the pressure value at the time of stability. The larger the injection interval of nozzle, the smaller the size of pressure wave range. Therefore, when designing the control strategy, the injection interval of nozzle should be increased.
Research on SVG Electromagnetic Transient Simulation Technology of Large-scale Offshore Wind Power Base
Authors: Gao Liping , Li Guanghui , He Xin , Shao Chong , Sun Yanxia , Zhang Xing , Liu Keke
Published: November 2020

Based on the control hardware in-loop simulation technique, the article built the SVG control hardware in-loop electromagnetic transient real-time simulation platform, and completed the simulation analysis of the transient reactive response characteristics of the SVG controller under the ideal grid. Relying on the SVG control hardware in-loop simulation platform, using code encapsulation cryptography, a pure digital model of the SVG control system dynamic link library was established. The feasibility of the SVG control hardware in-loop real-time simulation platform and DLL model was verified by “three-line check” of the control hardware in-loop simulation model - DLL model - field experimental data curve, which provides a simulation analysis solution for the analysis of SVG transient response characteristics of large-scale offshore wind bases.
Simulation Training Effectiveness Evaluation Based on Fuzzy Comprehensive Evaluation
Authors: Zhang Shusen , Shi Xin
Published: November 2020

Based on the comprehensive analysis of the components of simulation training, the whole process and systematic evaluation and analysis of the effect of simulation training are carried out in three aspects: the group training ability of the group trainer, the expected degree that the simulation training system meets the simulation training and the training effect of the trainee, and the corresponding evaluation index system is established.
Research on the Innovation of “Situation and Policy” Curriculum through Computer Modeling and Data Analysis
Authors: Liu Hui
Published: November 2020

The significant data era on the Internet is changing our daily life, learning style, working mode, et cetera, at the same time it purposes new challenges and demands for ideological and political education in universities. The research on the innovation of the “situation and policy” curriculum in colleges under the premise of the significant data era can further improve the scientificity of the “situation and policy” curriculum. Under the background of significant data era, The countermeasures of strengthen the situation and policy course effect, standardize the teaching content, gradually realize the significant data of the teaching content; combine the ideological and political classroom with the social classroom; strengthen the training of teachers; establish a scientific curriculum assessment system. Through computer modeling to analyze some factors that affect students’ efficiency and grades. For example, the number of courses and assignments are taken as independent variables, and the final course score as a dependent variable, through computer modeling to establish a model of factors affecting student mark. By comparing the importance of different factors to offer a reference for the future education model.
Research on the Application of College Physical Education Teaching Mode in the Cloud Computing Environment
Authors: Xin Chao , Wang Xianliang
Published: November 2020

With the development of educational informationization in Colleges and universities, cloud computing technology has become the main means of educational informationization in Colleges and universities. The application of educational information technology in college physical education promotes the integration with physical education. It realizes the transformation of physical education teaching mode and physical learning mode in Colleges and universities, gives full play to the greatest advantage of information technology, and provides students with a good education environment and a scientific and effective learning tool. This paper studies the application of physical education in the cloud computing environment. This paper investigates the current situation of College Physical Education in the cloud computing environment, analyzes and summarizes the problems in the process of college physical education teaching, and gives the corresponding countermeasures and suggestions. It can provide theoretical basis and reference for the future application of cloud computing in college physical education. From the point of view of physical education, this paper studies the relationship between education informatization and physical education, explores new physical education teaching mode, improves the use of school physical education informatization, creates a good teaching atmosphere, and promotes the improvement of teaching quality.
Hotelling Model Analysis Based on Product Quality Difference with the Network Externality
Authors: Tong Qian
Published: November 2020

A network externality was introduced into the two-stage dynamic Hotelling model with the quadratic function of transportation cost on the basis of the quality difference between two products. In consideration of three different position relations among the consumers’ indifference curve, quality preferences for the products and population distribution density, the existence condition of equilibrium price between two manufacturers about the Hotelling model were obtained. Attention was paid to traffic-flow distribution technology and infinite dimensional variational inequality. Finally, the influences of network externality, transportation cost, cost difference and quality difference on equilibrium prices between two manufactures were analyzed.
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

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.
Research on Complex System-of-systems Combat Experiment
Authors: Shi Xin , Zhang Shusen
Published: November 2020

This paper expounds the root of complexity of system-of-systems combat, and summarizes the methodology and technical route of complex system-of- systems combat experiment. Then, this paper studies the framework of system countermeasure experiment, and points out the technical difficulties of system countermeasure experiment.
L1-Finite Difference Method for Inverse Source Problem of Fractional Diffusion Equation
Authors: Zhang Ruiping , Bai Hao , Zhao Fengqun
Published: November 2020

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

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

In 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
A New Class Weighted Algorithm for PSVM
Authors: Zhu Xiaorong , Zhang Qian , Qiao Sai
Published: November 2020

Focusing on the problem of slow training speed existing in the SVM in intrusion detection, this paper improves the faster PSVM (Proximal SVM) method and proposes a new kind of class - weighted PSVM algorithm. This kind of algorithm not only has a fast classification speed, but also improves the classification accuracy.
Multi-Robot Path Planning Method Based on Prior Knowledge and Q-learning Algorithms
Authors: Li Bo , Liang Hongbin
Published: November 2020

The path planning method based on prior knowledge and Q-learning algorithm proposed in this paper solves the problems of low operating efficiency and slow learning speed in existing multi-robot coordination and collision avoidance. This method can be divided into two stages. Firstly, the improved Q-learning algorithm is used to plan the static collision free path of a single robot in the built model; After the Q-table is initialized with the prior knowledge obtained in the previous step, the Q-learning algorithm is used to achieve conflict-free motion among multiple robots. Finally, the simulation experiment shows that the proposed path planning method based on prior knowledge and Q-learning algorithm performs well in handling collision avoidance path planning of multiple robots.
High-speed Parallel Feature Extraction Algorithm of Wind Tunnel Image Based on GPU
Authors: Zhang Zhengyu , Xu Xiaochao , Yan Hua
Published: November 2020

In wind tunnel test, the serial feature extraction algorithm of wind tunnel image based on CPU is too slow to meet the execution speed requirements of wind tunnel test. To solve this problem, a high-speed parallel feature extraction algorithm of wind tunnel image based on GPU is proposed. The proposed algorithm is optimized in parallel from the CUDA kernel level and CUDA stream level to speed up feature extraction execution. In image pre-processing, a pixel is processed by a CUDA thread to achieve parallelization. In feature extraction, the image segmentation is introduced to parallelize 8-connected boundary tracking algorithm. And a CUDA thread is used to process an image block to parallelize feature extraction process. Furthermore, the proposed algorithm uses CUDA stream to asynchronous data transmission and data processing to achieve CUDA stream level parallelism. To verify the efficiency and effectiveness of the GPU-based algorithm, comparative experiment between CPU and GPU is conducted. The experimental results show that the performance of GPU-based parallel algorithm is far better than that of CPU-based serial algorithm. The GPU-based parallel algorithm can greatly improve the execution speed of feature extraction while ensuring the accuracy of feature data.
Research on Replacement Algorithm of Dynamic Page Storage Management
Authors: Zhao Yongchao , Xie Ying , Qin Haifei
Published: November 2020

This paper takes the dynamic page storage management in OS as the research aspect, and discusses the common three algorithms of FIFO, LRU and OPT. And put forward the idea of “vertically and horizontally”, use pseudo code to implement these three algorithm. Although the algorithm can be improved, but our idea of unifying the three algorithms is of great significance.
Dual Membership Fuzzy Support Vector Machine Algorithm Based on SVDD
Authors: Xu Yingcheng , Feng Wei , Pei Fei , Wang Haiyan
Published: November 2020

In the case of excessive overlap between positive and negative samples in data set, the deviation in the category of reconstructed sample points will lead to unsatisfactory discrimination of SVM, no matter what methods are used to reconstruct the sample set. A dual membership fuzzy support vector machine algorithm based on support vector data domain description was thus proposed, followed by a simulation analysis of common data set. Experimental results show that the proposed algorithm can work well in classification when the sample set is overlapped.
Image Stitching for Chest Digital Radiography Using the SIFT and SURF Feature Extraction by RANSAC Algorithm
Authors: Bakar Siddique Abu , Jiang Xiaoming , Gui Xiangfu , Li Guoquan , Li Zhangyong
Published: November 2020

Image stitching is one of the branches of computer vision. It combines two or more images for a scene to acquire a high-resolution panoramic image. An invariant local function often uses to stitch two images together. Since the flat plate of a digital radiography (DR) system does not cover all parts of the body, the whole bone structure image cannot seize in a single scan. To solved this problem, image stitching is broadly utilized by medical systems to stitch DR images, which can be helpful for scoliosis or lower extremity deformities in the diagnosis, and pre-operative planning are of great importance. In this paper, the stitching and retrieval of medical images planned. To conquer the background noise in medical images, and improve the recovery of quality and stitching rapidity of medical images, a random sample consensus (RANSAC) algorithm is useful to stitching the images of Chest digital radiography by scale-invariant feature transform (SIFT) and speeded-up robust features (SURF) feature extraction. Down-sampling utilizes to lessen the size of the images and reduction the measure of calculation. In the interim, the phase correlation is engaged to discover the overlapping region. After feature matching and perspective transformation, the stitched image is gotten dependent on the homography. At last, experimentation has finished showing the presentation.
Round-Trip Time and Available Bandwidth Estimation Based Congestion Window Reduction Algorithm of MPTCP in Lossy Satellite Networks
Authors: Yousuf Mohmmad Abu , Islam Md Mazidul , Hosen Md Shawkat , Ali Md Liton
Published: November 2020

A significant enhancement in recent communication systems is Satellite Communications. The performance improvement of the transmission control protocol (TCP) in satellite communications has been an active research area. Multipath TCP (MPTCP) ensures a robust solution than the regular TCP. However, the performance degradation in satellite networks due to the link asymmetry, high loss and high latency cannot distinguish the packet losses caused by network congestions from the losses properly. In this paper, a round-trip time detection-based algorithm is proposed using available bandwidth estimation (ABE) to mitigate the issue of blind decreasing of congestion window upon detecting the packet loss over lossy satellite networks. Experiments are done using the NS-2 network simulator to compare the various congestion control algorithms of both TCP and MPTCP over satellite networks. Simulations results from the experiments show that our proposed algorithm outperforms the existing algorithms which are mentioned in this article.
Research on Joint Distribution Route Optimization of Cold-chain Logistics for Fresh Agricultural Products
Authors: Yang Xuewen , Zhang Zhiguo , Wu You
Published: November 2020

In order to meet the development speed of cold-chain logistics, it is essential to enhance the efficiency of cold chain logistics, reduce the damage of fresh agricultural products, as well as guarantee the final transportation effect of all kinds of agricultural products. In view of the application of the Internet of things and the transportation principle of low temperature logistics, then the pattern of joint distribution is adopted, and the fixed cost, the transportation cost of distribution vehicles, the damage cost of fresh agricultural products and the operation cost of IOT are considered comprehensively. Under the basic setting of sufficient assumptions, the total cost to be lowest is taken as the objective function to construct a mathematical model to enhance the actual operation of cold-chain logistics in a scientific way.
A Method for Optimal Allocation of Regional Rail Transit Emergency Resources Based on Resource Sharing
Authors: Xu Lei , Wang Chuanjiang , Dong Wei , Sun Xinya
Published: November 2020

Regional rail transit is a composite rail transit system that includes multiple types of rail transit. Compared with single-standard rail transit, the types of risks increase, the risk impact is greater, and the consequences are more serious. Therefore, it is urgent to optimize the allocation of regional rail transit emergency resources to improve the overall efficiency of emergency operation and maintenance. Aiming at the characteristics of regional rail transit, this paper proposes a method for optimal allocation of regional rail transit emergency resources based on resource sharing. Firstly, according to the overall requirements of emergency services, the number of emergency stations is set, and then an emergency resource optimization allocation model for regional rail transit is built based on the p-median model. Secondly, through the multi-standard emergency resource sharing, the overall efficiency improvement of emergency operation and maintenance is achieved. Finally, a case study was carried out using Chongqing regional rail transit as an example to verify the effectiveness of the method.
Evolution Analysis of Zhuang Residences in Longan County, Guangxi
Authors: Zhao Mei , Zhao Xinghui , Gao Wei
Published: November 2020

Longan county, Guangxi province, China, is a region with a large population of Zhuang people, where Han culture and Zhuang culture communicate and collide frequently. A field survey was carried out in the villages of Longan county, and the architecture mapping of Zhuang residences were made. There are three types of Zhuang residences in Longan county successively: traditional timber Pile dwellings, secondary brick(stone)-timber Pile dwellings, and modern masonry structure ground houses. The characteristics of plan layout, important space, structure form and building materials of the three types of Zhuang residences are compared and analyzed, and the leading factors of the development and evolution of the three types of Zhuang dwellings are revealed.
Performance Analysis of Wireless Communication for High-speed Trains Based on SPN
Authors: Xie Yufei , Zhang Xubing
Published: November 2020

The quality of service high-speed train wireless communication is very important for high-speed railway operation. Modeling and simulation is an effective method to formulate travel plans and improve operational efficiency. In this paper, the SPN is used to establish a wireless communication model of a high-speed train for normal communication states and several system fault recovery states. The parameters are obtained through calculation, and the model is simulated and analyzed using TimeNet. The simulation results show that under the parameters required by the specification, the normal working probability of wireless communication is close to 100%, and the probability of several kinds of failure recovery is more than 95%, which meets the high reliability requirements.