bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical Modeling and Experimentation of Airflow Disturbance in Tramcar-roadway System
Authors: Si Junhong , Li Lin , Wang Yiqiao , Cheng Genyin , Shao He 
Published: June 2021

Abstract
This paper analyzes the variation law of equivalent air resistance in a mine car-roadway system, establishes the index system of influencing factors of airflow disturbance. Using experimental system of mine ventilation simulation, the characteristics of air supply of the roadway, blocking coefficient and disturbance of air resistance in roadway are studied. Furthermore, the mathematical model for calculating the equivalent disturbance air resistance is built in the different tramcar positions. The result shows that the tramcar-roadway system has a positive disturbance effect when the tramcar’s speed is greater than the air velocity of the roadway, and it is equivalent to air regulation by addition of pressure of the mine ventilation system. The negative disturbance effect is equivalent to air regulation by addition of resistance. It has the stronger disturbance effect if the air velocity or the roadway section is small. The maximum disturbance variation of air resistance occurs at the moment while the tramcar mine car enters or leaves the roadway. The error between the mathematical model and the measured data is 8.12 %. The research results can provide theoretical basis for intelligent regulation of mine ventilation system.
Study on the Evaluation System of Forest Ecological Protection Using Big Data Technology and Adaptive Fuzzy Logic System
Authors: Yin Chujie , Pan Wenbin 
Published: June 2021

Abstract
This paper takes Hunan Forest Botanical Garden as the research object, and selects 23 indicators from three criterion levels--the regional environmental quality, developing conditions and the characteristic value of scenic spot, to evaluate the ecological tourism development potential. Analytic hierarchy process is used to determine the weight of each index, and the fuzzy comprehensive evaluation method is also applied to evaluate the three criterion levels and the ecological tourism development potential. The results show that the score of ecological tourism development potential of Hunan Forest Botanical Garden is 8.7344, which represents a direction of development from “good” to “great”; the score of regional environmental quality is 9.4038, the highest score among the three criterion levels. It is suggested that the scenic area should maintain its own advantages, enhance tourism characteristics, and strengthen the construction of ecological civilization to promote the in-depth development of ecotourism.
Research on User Operation of High-density Entity Interactive Target Quantitative Simulation Interface
Authors: Wu Fengnan 
Published: June 2021

Abstract
The paper determines the general cognitive model of people in visual information search, and summarizes the basic design criteria that conform to the user’s cognitive model. Under the premise of the consistency of user needs, we disassemble and analyse each step of the user interaction process through the tool visualization simulation model, find out the user’s inner cognitive law under the guidance of different interfaces, and discuss the interface layout the impact of the difference on the user’s search time. The study found that through the numerical comparison of the experiment combined with the simulation analysis of Cog Tool and the target interaction experiment, the intrinsic cognitive law of the user in the interaction process was extracted. Therefore, we can conclude that the design guidelines for interface layout proposed in the paper can help art designers improve the efficiency of information cognition.
Automated Method for Solid State Nuclear Track Measurements
Authors: Pan Yi , Qiu Lei 
Published: June 2021

Abstract
Solid state nuclear track detection technology is an important nuclear technology based on the measurement of track density and geometric parameters, but manual measurement is difficult to ensure the accuracy and efficiency. Aiming at the uneven brightness, low contrast and noise pollution of nuclear track images, this paper proposes a method of acquisition, brightness correction, de-noising filter, target segmentation, boundary extraction, recognition of solid nuclear track image, and finally obtaining the geometric characteristic parameters of nuclear track, which improves the accuracy and efficiency of nuclear track parameter measurement.
Efficient Byzantine Defense Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks
Authors: Chen Ze , Wu Jun 
Published: June 2021

Abstract
Cooperative spectrum sensing (CSS) is a process of achieving spatial diversity gain to make global decision for cognitive radio networks (CRNs). However, the accuracy of the global decision effects owing to the presence of Byzantine during cooperative sensing, therefore causing severe performance degradation of CSS. In front of malicious users (MUs) launching Byzantine attack, a robust defense framework is proposed to defend against Byzantine attack and improve the efficiency of the CSS. For this aim, a novelty weighted single symbol (WSS) algorithm based on the reputation value update mechanism and the single symbol report method is proposed in this paper. We first propose a defense framework based on the reputation value distribution. In order to ensure the accuracy of Byzantine identification, we further evaluate the reputation value of secondary users (SUs)’ reports by mean of data transmission consistency verification. Moreover, the single symbol report method is utilized to improve the efficiency of Byzantine defense algorithm and reduce the report sample size. Finally, a series of mathematical analyses prove that the proposed defense framework improves the efficiency of CSS under Byzantine attacks.
ECG Signal Processing and Human State Detection Based on Wearable Electrodes
Authors: Bohan Cui , Yang Hongliu 
Published: June 2021

AbstractDetection and Recognition of a human’s continuous states in real time plays an important role in wearable devices. We present an approach for heart rhythm recognition and human status detection through the analysis of ECG signal. The algorithm is comprised of four components, including noise removal, QRS-P-T wave detection, features extraction and human states classification. Discrete wavelet transform (DWT) is applied for random background noise removal. “Moving Integral – Changing Slope” method is used to determine the location of QRS complex waves and other characteristic waves of ECG signal. Time interval, location, amplitude, area of characteristic waves and coefficients of the transform as the features of each ECG segment are input into support vector machine (SVM) so that the machine can judge the states of the human body. Finally, we develop a single-lead ECG delineation wearable system to collect data from 30 users of different ages and human body states for experimental verification. Our evaluation shows that this method can accurately detect different states of the human body in real time. In the future, it can be implemented on wearable devices to assist real-time physiological status monitoring or customized health planning.
Electrohydrodynamic lubrication model in point contacts with consideration of surface coating
Authors: Ma Mingfei , Wang Wen 
Published: June 2021

Abstract
An electrohydrodynamic lubrication (EHL) model in point contacts with consideration of surface coating is presented. The disturbance displacement caused by the coating on the surfaces is calculated using the finite element method (FEM). The effects of coating’s hardness and thickness on oil film pressure, thickness, and subsurface von Mises stresses are investigated. The results show that hard coating causes a significant increase in the oil film pressure, while soft coating has the opposite effect. A significant stress concentration occurs at the subsurface when there is a hard coating. And when the thickness of the coating reaches a certain value, the subsurface stress reaches its maximum. While when there is a soft coating, the maximum stress on the subsurface is slightly reduced.
Air water intake device based on heat slow-release system
Authors: Yu Bingqing , Zhang Renfei 
Published: June 2021

Abstract
In the arid desert regions of the northwest, fresh water is extremely scarce. But in the desert area’s early morning, the day and night temperature are very different, and the air relative humidity will also reach the peak in the day at this time. In this paper, we plan to design an air water intake device in arid area. By using bionics, combining with the traditional water mist water intake method and chimney effect, we design a water intake device to direct the air with high humidity to extract water effectively. The heat release system is designed by using the heat absorption and exothermic characteristics of the phase change energy storage material under the influence of the temperature difference between day and night.
Simulation Research on Three-point Contact Outside Diameter Online Measuring Device
Authors: Song Peilong , Hu Lai , Chen Yaolong 
Published: June 2021

Abstract
In the grinding process of workpiece, because the grinding wheel will produce wear, it is difficult to control the machining accuracy of the workpiece by the grinder itself. Using radial measuring instrument to measure the size of the workpiece in real time, detect the change of the size of the workpiece, and guide the adjustment of grinding parameters can improve the production efficiency of the grinder and reduce the machining cost. It is an important link in the grinding process of the grinder. Different from the traditional two-point contact on-line measurement technology of outer diameter, this paper designs and develops a set of three-point contact on-line measurement device of outer diameter based on the principle of bow height and chord length. In the measuring process, two fixed probes and one displacement sensing probe are in contact with the outer diameter of the workpiece at the same time, and the on-line measurement of the outer diameter of the workpiece is realized by solving the positional relationship among the three probes. In order to explore the force-measuring extrusion deformation of the device in the measuring process, this paper simulates and analyzes the three-point contact on-line measuring device for outer diameter.
Research on the Design of Automatic Testing Software for Modular Terminal Full Performance
Authors: Zhu Wenjun , Wang Xingang , Huang Ruili , She Juan , Zhou Qiang , Shan Zhaoguo 
Published: June 2021

Abstract
Design the terminal full-performance automatic detection system software to realize the functional logic test of the actual table and the virtual table. The detection system is aimed at the detection of collection terminals. The system software is compatible with multiple protocols and supports system expansion. The automatic detection system adopts a multi-layer technical system design, through the service bus to realize the collaborative work of the components of the system, and realize the integration of all levels. The control terminal is connected with the collection terminal under test to simulate the communication situation. The inspection software supports business process testing, logic validity testing, performance limit testing and equipment compatibility testing. The designed automatic detection system software has the characteristics of low coupling, high flexibility, high scalability, and high reliability.
Influence of Intercluster Connection Mode on Cluster Network Synchronization
Authors: Wang Yi , Li Zhihui 
Published: June 2021

Abstract
Aiming at the cluster network composed of BA scale-free network, this paper proposes two one-way driving inter-cluster interconnection methods. One inter-cluster interconnection method is connected to the generous node of the driven sub-network, referred to as BDN mode. The other is a small node connected to the driven subnet, referred to as SDN mode. Using the second eigenvalue and the synchronization dynamics to compare the synchronization capabilities of cluster networks in different inter-cluster interconnection modes, it is found that the cluster networks interconnected by BDN mode have stronger synchronization capabilities.
Aspect-oriented requirement analysis based on Formal method
Authors: Qu Can , Zhang Xuhui , Chen Haihua , Zhang Lichen 
Published: June 2021

Abstract
Aspect-Oriented Programming (AOP) can effectively solve the code-tangling and code-scattering which are caused by crosscutting attributes, However, much work is presented on the programming and the implementation phase, and few works have addressed the early model stages. In this paper, we do research on the requirements engineering phase of software by using AOP technology. First in the requirements analysis phase, we identified the functional requirements and non-functional requirements by the separation of concerns, then to realize the functional requirements with components and the non-functional requirements with aspects. Then we represent the components and aspects by combining with the formal language Aspect-Z which have characteristics of accurate description; As actions accompany with conflicts while two or more aspects effect on the same joint point synchronously, we propose a method to solve by defining aspects priority level.
Application of Beidou Satellite Navigation System in Finding Separated Children
Authors: Wu Yubo 
Published: June 2021

Abstract
The Beidou satellite navigation system is currently one of the most advanced navigation systems on an international scale. The purpose of this work is to design a system framework based on the Beidou navigation system for the positioning and tracking of children. The novel system designed in this work includes a Beidou satellite system, a tracker assembly mounted on the sole of a child’s shoe, a guardian’s cell phone terminal and a monitoring computer terminal. In particular, the present work creates a new tracker assembly that is communicatively connected to the guardian’s mobile phone terminal and the monitoring computer terminal through the Beidou satellite system, respectively. This paper designs and implements an effective monitoring and tracking of children’s location based on Beidou navigation, which is worth promoting and applying
Research on the Text Similarity Algorithms in Automatic Scoring of Subjective Questions
Authors: Peng Juan 
Published: June 2021

Abstract
The theme revolves around the automatic scoring of subjective questions. The key technologies involved in the whole automatic scoring process are discussed in this paper, analyzes the advantages, disadvantages and application scope of different calculation methods for text similarity to understand the development trend of this field. It is helpful for further research on the automatic scoring method of subjective questions based on Word2vec improved model.
Exploration on Smart Library Construction in 5G Era
Authors: Zhang Liqun 
Published: June 2021

Abstract
With the rapid development of information technology and network, we have ushered in a new round of communication technology called fifth generation communication technology (5G). The arrival of 5G has brought new opportunities and challenges to all walks of life. As a document information center, the library is the carrier of collecting, sorting and collecting document resources. As a librarian, we should keep up with the pace of the times, take practical and effective management methods to combine 5G with the construction of smart library, and establish efficient, intelligent, interconnected and convenient smart library services.
Theoretical Derivation of Student Basic Signal Monitoring System Based on Software Engineering
Authors: Yu Tianbo , Wang Yue , Sun Weidong , Sun Rui 
Published: June 2021

Abstract
At present, in China’s higher education institutions, with the rapid progress of software engineering theory, this paper adopts the signal monitoring system method and derives the mathematical analog signal strength monitoring system. It is optimized in combination with the software engineering wearable system. By using the heart rate acquisition module to improve the performance, using the temperature acquisition module empirical formula, and finally through the software engineering statistical comparison analysis, it is proved that the student basic signal monitoring system has a significant effect and can play a role in preventing students from fainting or sudden death. positive effect.
A fusion framework for automatic neuron reconstruction
Authors: He Ping , Zhao Xuan , Li Longfei 
Published: June 2021

Abstract
Neuron reconstruction is an important step to study the relationship between brain neuron morphology and function. Existing neuron reconstruction algorithms have achieved relatively good results under certain conditions. In the context of whole brain research, the conditions are more demanding, so the previous methods cannot guarantee high-quality results in any brain image data. This paper proposes a fusion framework for automatic reconstruction, which is dedicated to improving the applicability of traditional reconstruction algorithms and obtaining high-quality neuron morphological data. Experiments show that this framework is more flexible than traditional reconstruction methods and has broad application prospects in the current research background.
Research on the Application of Modern Computer Technology in the Modeling of Basketball Offensive Line Measurement and Calculation
Authors: Li Wang 
Published: June 2021

Abstract
In order to better improve the shooting percentage, this article proposes mathematical modeling and statistical analysis of the offensive line measurement of the basketball’s vertical height, horizontal speed, and vertical speed when shooting. Studies have found that excellent shooters can get a high and stable shooting percentage when using dominant hands. Excellent shooters usually like to use a variety of shooting postures. The thesis also develops an interactive and intelligent basketball tactics teaching software system to enable students to initially establish a perceptual understanding of basketball skills and tactics, and improve the teaching effect of teachers explaining basketball training techniques and tactics.
Research on Food Security system and Optimization method based on multiple regression Analysis
Authors: Bu Jiahui , Liu Ziang , Wu Junlin 
Published: June 2021

Abstract
Considering that the current model of the world food system puts efficiency and profit first, many people still go hungry and seriously pollute the environment. In this paper, the multiple nonlinear regression method is used to optimize the existing food system. Firstly, the food security evaluation system is established, and the global food security situation in recent years is obtained by calculating FSSI. Then, the model of influencing factors of food security is established, and the relationship between food system security index and various factors is obtained by multiple nonlinear regression, on this basis, fairness and sustainability index are obtained by the same method, and the existing food system is optimized. After analyzing the current situation of countries with different standards, we have formulated a series of intelligent optimization policies for them. Finally, by comparing the change trend of the index before and after optimization, it is found that the optimized index can reach the ideal value more quickly.
Application of Artificial Intelligence System in Libraries through Data Mining and Content Filtering Methods
Authors: Tian Zhaoxia 
Published: June 2021

AbstractWith the rapid advancement of artificial intelligence theory, this paper adopts a multi-intelligent agent collaboration method and derives through data mining. In combination with content filtering methods and intelligent agent learning optimization, it improves the high performance by using a personalized information service system architecture. The performance of the library system of vocational colleges. According to the difference of readers’ interest, it matches the results of traditional document retrieval, effectively filtering out readers’ demand information, reducing the time for readers to search for required information, improving reader retrieval efficiency, realizing information push of similar users, and realizing “information looking for people”.
Research on Real-time and Reliability of Wireless Transmission of High-speed Train Control Data Based on Data Mining Technology
Authors: Luo Mingyu , Zhu Liguo 
Published: June 2021

Abstract
The informationization of high-speed railway is of great significance to the operation and maintenance of high-speed trains. Through the operation and maintenance data communication based on wireless public network, the ground monitoring system can know the real-time status of trains in time, which can facilitate the daily arrangement of inbound inspection and maintenance of trains and improve the operation and maintenance efficiency of high-speed trains. The reliability of data transmission in wireless sensor networks is low under the influence of resource constraints and environmental factors. However, the reliability of data transmission is an important index to evaluate the network performance in application fields such as national defense, military affairs and industrial control. Based on data mining technology, this paper analyzes the real-time, reliability and security of data transmission according to the characteristics of digital mobile communication used for data transmission in railway running and train automatic control. Combined with the characteristics of wireless channel in the environment of intelligent railway transportation system, this paper puts forward concrete measures to improve the performance of wireless link and concrete methods to judge whether wireless transmission can meet the requirements of IRTS environment.
Community Search in Spatial Uncertain Network
Authors: Zhang Wenqian , Zhong Yingli , Yang Yan 
Published: June 2021

Abstract
Community search is to explore valuable target community structure from a large social network. In real community, every point has a geographic location information, and many edges are uncertain. Such a network is called spatial uncertain network. In order to meet the existing needs, this paper studies the community search in the spatial uncertain network so that the searched communities can be relatively close in the geographical location and the relationship between each other is also very close. Based on the spatial uncertain graph, this paper proposes K-R-τ community, and proposes a linear algorithm and a two-dimensional algorithm for community search in the spatial uncertain network. A large number of experiments are carried out on several real datasets, and the results show that the algorithm proposed in this paper is effective and accurate.
Stability Evaluation and Optimization of Food System Using PEFS Mathematical Model and Big Data Technology
Authors: Li Zesheng , Huang Yue , Li Zhenjia 
Published: June 2021

Abstract
Today in our world, the food system is very unstable despite its high efficiency and profitability. More and more problems and even tragedies are caused by the instability of today’s food system. Therefore, the stability evaluation and optimization of the food system need to be implemented as soon as possible. A basic model named PEFS is established for better understangdings of our global food system based on the mechanism analysis of the food supply chain. Its output is the efficiency and profitability of any food system. We can use the PEFS model to simulate the global food system. Relying on the collected data, the model gives the profitability and efficiency of food systems in 162 countries around the world. The visualized map is shown in Figure 4. Among them, Guatemala is the country with the highest profitability, reached 0.812. Argentina is the country with the highest effciency, reached 0.854.