bluuebunny/crossref_metadata_2025 huggingface dataset:
A Multi-objective Tracking Task Assignment Algorithm Based on Game Theory
Authors: Quan Bei , Lu Xuanmin , Zhang Yumeng , Mou Zhiying
Published: March 2021

Aiming at the relationship between competition and cooperation among sensors in multi-target tracking task allocation, this paper proposes a game theory-based method to allocate sensor resources for multi-target tracking tasks. The dissertation first establishes a target tracking model and designs a game theory payment function based on the model. Then a multi-sensor multi-target tracking task allocation game model is designed. Finally, a multi-target tracking task allocation algorithm based on game theory is given. Compared with other allocation algorithms, the average tracking error of the proposed allocation algorithm is reduced from 68.5630m to 19.7601m through experiments.
Intelligent Content-Centric Networking Routing Strategy: A Bacterial Quorum Inspired Pattern
Authors: Yang Hong , Guo Xiong , Li Mengliang
Published: March 2021

In recent years, the Content-Centric Networking (CCN) has attracted much attention from the global Internet experts, especially it has demonstrated the outstanding effect on the application in the field of Internet of Things (IoT). At present, the routing technique of ICN is subjected to the dynamic change of network environment with the development of mobile Internet. Therefore, this paper proposes an Intelligent CCN routing strategy based on Bacterial Quorum pattern (ICBQ). The ICBQ tries to simulate the behaviors of bacteria, including quorum sensing and adaptive chemotaxis. Meanwhile, the quorum sensing can obtain the parameter information on bandwidth, delay and error rate to facilitate the subsequent forwarding of packets; The adaptive chemotaxis can select the optimal interface to forward the packets through the information measurement. The simulation is driven based on the real Netflix dataset over the GTS network topology, and the experimental results show that the proposed ICBQ has better performance in terms of routing success rate, routing delay and load balance.
Design of Intelligent Assistant System for Billiards Hit Training
Authors: Zhang Zerui , Zhang Wenhao , Chen Weizheng
Published: March 2021

Image processing technology has increasing important applications in sports in recent years, such as result prediction, technical analysis, and foul determination. For most billiards beginners, how to hit the billiard ball into the ball belt is not a simple matter. In order to assist the beginners in billiards training, this article proposes an assisted hitting system. The system is divided into three parts: bag detection, billiard detection, and hitting suggestions. In the ball belt detection, double-peak histogram threshold segmentation, edge detection and Hough transform are used to detect the edge line, and then the ball belt position is detected. In billiard ball detection, the normalized RGB method is used to extract the foreground, the Hough transform circle detection method is used to detect the center and radius of the sphere, and the neural network is used to determine the white ball. In the shot suggestion, the force and angle of the shot are given by the dynamic formula, and the path simulation of the ball in the background is given. Experiments show that the recognition method is effective and the path simulation is consistent with reality, which can assist beginners in the training of billiards to a large extent.
The Calculation of Electric Field Caused by Distributed Charge
Authors: Li Jinxi , Wu Wei , Cheng Yinhui , Wang Yixiong , Chen Peng
Published: March 2021

The potential and electric field responses in cylinder cavity with ceramics slice caused by distributed charge in X-ray environment were simulated with finite difference method. The numerical results indicate that the distributed charge in ceramics’ middle section is negative or positive, and positive of both sides. For the photon energies from 30 keV to 1 MeV with same fluence, distributed charge and electric field were decreased at first and then increased. Electrode has great effect to the potential and electric field responses. For different plating thickness, there exists minimum to the electric field amplitude, and for the plating, there exist optimal diameter and thickness. Distributed charge is calculated using Monte-Carlo particle transport code.
The Current State and Development Tendency of the FWD Metrology Technology
Authors: Miao Na , Chen Lei , Peng Lu , You Chunmei , Wang Yixu
Published: March 2021

As the “Outline for Building a Leading Transportation Nation” puts forward, the overall requirement of high quality development, the measurement work of transportation industry plays a much more important role. This paper introduces the measurement technology state of the FWD of the highway pavement bearing capacity measuring equipment, the technical state and error analysis of the equipment are introduced, and the calibration and comparison methods are sorted out, which provide a reference for the next generation of the equipment.
Improved Gray Wolf Algorithm Based On Dynamic Inertia Weight and Adaptive Search
Authors: Cai Pengchen , Zhang Damin
Published: March 2021

An improved ISAGWO algorithm is proposed to solve the problem that the traditional grey Wolf algorithm is easy to fall into local optimum, which leads to low search accuracy. By introducing the weight factor before the vector coefficient, the position vector updating formula and the adaptive search strategy of the dynamic modulation algorithm, the search accuracy of the algorithm and the ability of jumping out of the local optimum are improved. The efficiency of the improved grey Wolf algorithm is evaluated by statistical analysis, convergence rate analysis and classical reference function. The results show that the improved grey Wolf algorithm has better global search ability and solution robustness, and the optimization precision and convergence speed are also improved compared with the standard grey Wolf algorithm.
Analysis on the Allocation Optimization of Airport Baggage Turntable
Authors: Yan Jianying , Shi Lina
Published: March 2021

The rapid growth of my country’s civil aviation passenger traffic has led to increasingly tight operating resources in the terminal. In order to optimize the operating efficiency of the baggage turntable for arriving passengers, the simulated annealing algorithm is used in the baggage claim carousel allocation. According to the set objective function model, the simulated annealing algorithm solution process is designed and the solution process is simulated. According to the comparison between the obtained results and the results of the first-come-first-served distribution method, it is shown that the simulated annealing algorithm has a better result than the first-come, first-served distribution method and meets the target requirements. It provides a way to alleviate the airport baggage claim carousel allocation problem and a feasible way to use efficiency.
A Method for Multi-objective Optimization and Application in Automobile Impact
Authors: Yang Guang , Cao Yong , Tao Haiyan
Published: March 2021

A method is proposed for constrained multi-objective optimization problems, which is based on Newton method and the linear weighted sum method. The automobile impact problem is studied in this paper. The multi-objective optimization model of the impact problem would be established. Then, an improved design of front rail is obtained by the algorithm proposed.
Machine learning based intelligent posture design of driver
Authors: Gou Junjie , Chuan Jianbing , Wang Hongyan , Gao Yang
Published: March 2021

The automatic adjustment of the driving posture can effectively help improve the driver’s experience, and thus it is one of the important reference indicators for the design of the vehicles. This paper focuses on the intelligent adaptive driving posture using the machine learning (ML). Firstly, laser scanning was used to obtain the point cloud data of the most sold vehicles in the market. Then, the driving posture’s key parameters were screened and extracted through the big data processing method. Finally, the deep learning neural network (DNN) was applied to establish a supervised learning model to figure out the intelligent adjustment of driving posture for different vehicles. Numerical results can demonstrate the accuracy and effectiveness of the proposed method by comparing it with the actual driving experiments. The results show that the accuracy of the research is good and can provide a reference for the design of intelligent driving.
A harmonic injection method for improving NVH performance of permanent magnet synchronous motor
Authors: Zhang Nian , Sun Chao , Liu Jing , Xiong Fei
Published: March 2021

A harmonic injection method is proposed for reduce permanent magnet synchronous motor torque ripple and noise, which is based on harmonic model of PMSM. The effectiveness of the method is verified by simulation and experiment. It is proved that this method can significantly improve NVH performance of the motor.
Research and Design of Household Intelligent Mechanical Claw
Authors: Chen Yihao , Cheng Ziye , Li Yuqi
Published: March 2021

In order to design a kind of intelligent mechanical claw for home and office scene. Based on the investigation, analysis and arrangement of the features of items in the family and the functional demands of the family on the mechanical claw, a design scheme of intelligent mechanical claw which can switch functions and grasping modes according to the different grasping objects is proposed. Mechanical structure design, including mechanism motion design, part structure design, and use Autodesk Inventor software for mechanical parts, component design and simulation assembly; The stress analysis module in Autodesk Inventor was used to simulate the key components. Finally, the design scheme of mechanical structure and control system for the mechanical claw are proposed.
Research on Data Asset Management System of Graph Database Based on Internet of Things
Authors: Gao Lingchao , Yang Qifan , Zou Baoping , Liu Qing , Wang Chuanjiang
Published: March 2021

With the development of the times and the progress of society, the popularization rate of computer network technology and information technology in China is accelerating, and the Internet of things technology also appears in people’s vision, and is gradually known by people. In the context of this era of big data, it has brought great challenges to all walks of life. The development of everything must conform to the development theme of the times. In order to meet the challenge of the research and development of the data asset management system of the graph database in the new era, this paper puts forward the method of applying the Internet of things technology to the research and development of the data asset management system of the graph database. Combining with the foreign research and development plans of the data asset management system of the graph database, the data resources of the graph database are carried out from the platform system, the management structure and the organization arrangement Based on the research and analysis of production management system, a research scheme of data asset management system of graph database which can meet the development requirements of the new era is worked out. Through long-term research and analysis, we can find that the Internet of things technology analysis method proposed in this paper can effectively provide new development ideas for the research and development of data asset management system based on graph database under the Internet of things technology.
Research and Analysis on Evaluation Methods of Electrical Performance of Smart Energy Meters
Authors: Sheng Qing , Huang Liang , Wang Xingang , Jiang Jianfeng , Li Peng , Zhang Jingang , Qu Shiqing
Published: March 2021

Based on the technical specifications of smart meters, the electrical performance evaluation methods of single-phase smart meters are studied, and the accuracy, stability and safety of smart meters are analyzed and studied through specific data verification. Analysis the basic characteristics of the electrical performance of the smart energy meter, and evaluate the electrical performance based on the basic characteristics. Collect the specific working characteristic data of the intelligent electric energy meter, accurately measure the parameters of the intelligent electric energy meter, and analysis the electrical performance. Analysis the influence of the harmonic components of the power system on the measurement of the electric energy meter, study the power consumption of the smart electric energy meter, and the accuracy and stability of the operation.
Failure Analysis on Cracked Cr8Mo2SiV Mold Parts
Authors: Qiu Huaxing , Wu Zhenghuan , Gu Liwen , Cai Yujun , Li Xiaohui , Huang Lifeng
Published: March 2021

Cr8Mo2SiV cold work die parts cracked early during machining process. In order to find out the reason of cracking failure of the die parts, the macro crack analysis, chemical composition analysis, hardness test and microstructure analysis of the parts were carried out by stereo microscope, direct reading spectrometer, digital Vickers hardness tester, metallographic microscope and scanning electron microscope. Some results are obtained: the chemical composition of cracked parts was tested and found similar to Cr8Mo2SiV, compared with standard Cr8Mo2SiV, it contains 3.81%W, and its hardness is 229 HV1, means that the cracked parts are not hardened. By observing the micro morphology of the crack, there are oxide and decarburization layer on the crack surface of the parts. It proves that the crack was formed before spheroidizing annealing. It is a typical raw material crack.
Design and Implementation of Multi-core Parallel Compiler Based on OpenMP
Authors: Liu Xiaojian , Lv Hao , Liu Shuo
Published: March 2021

OpenMP supports parallel incremental development, and has become a mainstream parallel programming standard for shared memory systems. A parallel compiler running on multi-core DSP is designed for OpenMP programs. The main achievement includes translator and runtime. The translator converts OpenMP instructions in source files into function calls in runtime where the specific implementation is provided. The core problem of parallel compiler is how to design parallel strategy to allocate computing tasks to each core, which corresponds to the concept of parallel domain in OpenMP standard. The compiler realizes the of master-slave core by transforming parallel instructions and supporting runtime, which has guiding significance for the design of parallel compiler.
A Creative Research on Interactive English Teaching Based on Computer Aid
Authors: Chen Jintian
Published: March 2021

With the rapid development of digital technology, the advantages of the multiple interactive teaching model of college English have become increasingly prominent. The multiple interactive teaching model of college English focuses on teacher-student interaction, student-student interaction, student-teaching material interaction, and human-computer interaction. The research analyzes the characteristics of the multiple interactive teaching mode compared with the traditional teaching mode, and also points out some of the problems and challenges it faces, and compares the experimental class with the control class in specific teaching practices, and draws the conclusion: The multi-interactive English teaching mode is conducive to improving students’ English learning performance, and is a practical and effective teaching mode. At the same time, the thesis briefly introduces the creation of Web-based interactive teaching system, and according to the characteristics of Web network teaching, expounds the selection of the system architecture and methods to improve the security and stability of the Web network teaching system.
Research on the influence of social network on risk control of New Ventures
Authors: Xiong Chan , Xue Yanan , Zhou Ruyi
Published: March 2021

We have witnessed many firms use social network to facilitate their business transactions. In this study we discuss the impact of social network on new ventures’ risk control. We test our hypotheses with survey data collected from 3149 from a questionnaire survey about private businesses in China. Our results show that social network is the protective umbrella to prevent risk during their growth.
Face Detection Algorithm Based on Deep Residual Network
Authors: Tao Shifan , Li Yufeng , Huang Yufeng , Lan Xiaoyu
Published: March 2021

With the rapid development of artificial intelligence, face detection technology is widely used in our daily lives, such as mobile payment, video conferencing and personal identification. However, face the scenario while the face been blocking or crowding, the face detection accuracy would be greatly reduced. Therefore, in this paper, a high-precision face detection algorithm based on deep residual network has been proposed to solve this issue. Firstly, adding neural framework branches based on the Resnet-50 to improve the detection accuracy. Then import the soft-NMS method to enhance the robustness of algorithm. Experimental test on the public data set FDDB, the results indicate that the accuracy of this algorithm can reach 94.2% with good robustness, both accuracy and speed are better than the previous algorithm.
A Robust Space-time Adaptive Processing Algorithm based on Particle Swarm Optimization for Non-stationary Clutter Suppression
Authors: Wang Hanchao , Fang Lili , Zhang Chuanfang
Published: March 2021

A novel robust sparse recovery (SR) space-time adaptive processing (STAP) algorithm based on particle swarm optimization (PSO) for non-stationary clutter suppression is presented in this paper. A cost function for PSO in the presence of parameter errors is theoretically derived. An improved estimation process of clutter spectrum based on this cost function which is called PSO-SR is proposed and analyzed. A more accurate estimation result of clutter spectrum could be provided by this algorithm than the previous proposed algorithms in the presence of considerable parameter errors. Simulation results demonstrate the robust performance of this algorithm.
Research on Temperature Prediction Model in Greenhouse Based on Improved SVR
Authors: Fan Linan , Ji Yandong , Wu Gang
Published: March 2021

The greenhouse is a multivariate, nonlinear, time-varying and time-lag system. The establishment of an accurate greenhouse temperature prediction model can effectively ensure the effectiveness of intelligent temperature control. In order to solve the problem of difficulty in modeling the temperature mechanism of greenhouses, this paper proposes a method based on improved Support Vector Regression to establish greenhouse temperature prediction, The PSO algorithm is used to optimize the hyper-parameters of the SVR. Using real greenhouse data to verify the effectiveness of the proposed model. Experimental results show that compared with the traditional BP neural network prediction model, the temperature prediction model in greenhouse based on improved SVR has significantly improved prediction accuracy and better prediction capabilities. Therefore, the greenhouse temperature prediction model based on improved SVR proposed in this paper can well characterize the actual greenhouse system.
Simulation analysis and actual verification of stable direct route motion of an underwater vehicle streamer system
Authors: Li Huarong , Zhuang Rui , Yang Chong
Published: March 2021

Based on the model of Ablow and Schechter, the equation of stable direct route motion of the streamer system of underwater vehicle is established. The simulation calculation program of stable direct route motion of the streamer system is compiled according to the equation. Under the condition of setting the kinematics and dynamics boundary of the streamer, the stable array of the streamer system is simulated numerically. The influence of the key parameters such as the speed of towing point, the density of streamer and the diameter of streamer on the stable direct route motion array and tension of the streamer system is discussed. On this basis, combined with the full-scale model of the streamer system, the actual towing test on the lake is carried out. The test results show that the results obtained by the simulation method in this paper are consistent with the actual array obtained by the actual motion test, and can effectively evaluate the array attitude and node hydrodynamic characteristics of the streamer system.
Research on EMC Simulation Method of Conducted Emissions Current Probe Method for Electric Vehicle Battery Pack
Authors: Cai Xuedan , Xiong Fei , Li Jianqun , Zhu Linpei , Wang Manli , Liu Zhaojiang
Published: March 2021

The electric vehicle generates more serious electromagnetic interference than the traditional cars. As one of the core components, the battery pack affect the vehicle’s electronic equipment seriously and it is susceptible to interference from high-voltage components Simultaneously. This chapter mainly studies the conducted emissions of battery packs. By establishing of the equivalent circuit model of the conducted emissions current probe method for the battery pack, and analysing according to the test conditions, and finally comparing with the test results to verify the accuracy and effectiveness of the method.
Research on Application of Finite Element Method in Static Analysis
Authors: Li Rao
Published: March 2021

The finite element method (FEM) is a numerical calculation method for solving the approximate solution of the boundary value problem of partial differential equations. Because of its simple principle and strong problem-solving ability, finite element analysis has been widely used in the fields of mechanics, electromagnetics, and heat conduction. The advantages are obvious when dealing with complex nonlinear boundary conditions. This article is based on the basic theory of elasticity and combined with the finite element method to design a statics simulation system. The calculation results are based on ANSYS.
Text Classification by using Natural Language Processing
Authors: Yu Peiyang , Cui Victor Y. , Guan Jiaxin
Published: March 2021

The spread of Fake news on the Internet misleads people to have false understandings and recognitions of certain events and make ill-advised decisions. This widespread can post a significant threat to modern society politically, economically, and ethnically. In this paper, multiple methods and approaches are mainly discussed for text-data preprocessing, implement different word-vector algorithms. Finally, two datasets are chosen to compare four of the most popular Natural Language Processing (NLP) models to help people distinguish the authenticity of the news.
Studies on image recognition based on VAE and AAE
Authors: Zhou Haobin , Li Bin , Zhou Qinglei
Published: March 2021

Image recognition is applied to all aspects of life, such as brush face authentication and defect detection. Traditional convolutional neural network trains network through a large number of data sets. However, in practice, it takes a lot of time and effort to collect training data. In the case of less training data and larger verification data set, the accuracy is relatively low. Therefore, this paper proposes two methods this method can improve the accuracy and loss function fluctuation of the case with less training data and more verification sets. The lenet5 convolutional network structure is used as the main body to form a new convolutional neural network by combining variational self coding and counter self coding. The experimental results show that in the cifar-10 data set and cifar-100 data set, the combination of variational self coding and combined counter self coding can increase by up to 4 percentage points compared with the traditional convolutional neural network, which is effective in the case of insufficient training data.
Simulation Research on Lightning Protection Effect of Distribution Line Lightning Protection Measures
Authors: Luo Simin , Luan Le , Cui Yiping , Xu Shuo , Guo Quinten , Liu Tian
Published: March 2021

Due to the low insulation level of distribution lines, the electromagnetic transient characteristics of lightning strikes are quite different from those of high-voltage transmission lines; the lightning protection measures used in high-voltage lines cannot be well applied to distribution lines. In order to further understand the various lightning protection measures and the effect of lightning protection measures on the improvement of the lightning resistance level of distribution lines, this paper evaluates the working principles, characteristics, lightning protection effects and existing deficiencies of various lightning protection measures used in distribution lines And using ATP-EMTP software to analyze several kinds of lightning protection measures commonly used in 10kV distribution lines, it has certain reference value for the selection of lightning protection measures of 10kV distribution lines.
Modeling and simulation of powder spreading of Inconel 625 based on 3DP process
Authors: Gu Hai , Sun Jianhua , Mao Baochen , Zhang Jie , Xu Yuanyuan , Jiang Jie , Li Bin
Published: March 2021

Three-Dimensional Printing (3DP) forming technology has the advantages of rapid forming speed, wide range of printing materials, unlimited printing shape and no need for supporting materials. In this paper, the Discrete Element Method (DEM) is used to simulate the powder spreading process of Inconel 625. The influence of powder particle shape, powder ratio, roller size and roller horizontal speed on powder spreading is simulated. The results show that the horizontal velocity of powder laying roller and the shape of powder particles have great influence on the accuracy of powder spreading. The influence of powder characteristics on the forming quality is studied. It is found that if the particle size of powder is smaller, the fluidity will be lower, and the forming quality will be better; if the particle size of powder is larger, the fluidity will be better, but the precision of the part will be reduced. The results provide a theoretical basis for the preparation of Inconel 625 by using 3DP process.
Research on the Production System of Multimedia Propaganda Films for Energy Saving and Emission Reduction
Authors: Guo Tao
Published: March 2021

Strengthening brand building is an inevitable choice for the company to create an international advanced power grid enterprise and actively adapt to the new changes in public opinion ecology. At present, energy-saving and emission reduction is a new trend in the development of power companies and the entire energy industry. Based on this research background, this article mainly combines the research and development experience of energy-saving and emission reduction science popularization works innovation creation projects, combined with electric power companies to explore the methods and characteristics of multimedia popularization in the digital age and explore new forms of using computer multimedia and network technology for famous science creation.
Research on Key Technologies of Computer Simulation for Vehicle Engineering Engine
Authors: Tian Haoyu
Published: March 2021

The paper analyses the importance of simulation technology for the research and development of hybrid engines in vehicle engineering, and introduces the current development status and key technologies of hybrid engine simulation technology, and puts forward the focus of future research. Simultaneously, taking the hybrid electric vehicle as a case, through the analysis of the drive structure and work requirements, to optimize the power performance and fuel economy of the vehicle, the electric assist control strategy for the hybrid power system is proposed. The control logic formulates the driving conditions. A related control model was established, and the control strategy was simulated on the Advisor software platform. The simulation results show that the proposed electric-assisted control strategy is entirely suitable for hybrid electric vehicles. Compared with traditional vehicles, the power performance and fuel economy of the whole vehicle are further improved.
Research on Image Super-resolution Reconstruction Based on Deep Learning
Authors: Zhang Yaobin , Zhang Zhiheng , Li Tingle
Published: March 2021

Image super-resolution processing technology refers to the technology of reconstructing high-resolution images by using low-resolution images with mutual displacement of multiple frames of the same scene. At present, image super-resolution processing technology is widely used in image reconstruction in various fields, such as: medical images, remote sensing images, robot vision, etc. In recent years, deep learning has also been widely used in various fields, especially in computer vision and speech processing. Since image super-resolution reconstruction the method of deep learning is introduced into the technology. Due to the good performance advantages of the deep learning method, it has become an important method for the research of image superresolution reconstruction technology. In this paper, the current status of domestic and foreign research on image super-resolution reconstruction is first simplified. Then, the theory of deep learning was explained, mainly the artificial neural network theory, the related theory of super-resolution reconstruction based on deep learning, and the method of image super-resolution reconstruction based on deep learning.
Research and market survey of a campus knowledge payment platform based on distributed ledger technology
Authors: Ling Jiawei
Published: March 2021

Based on the distributed ledger technology, this paper designs a kind of campus knowledge payment platform, and fully investigates the market of campus knowledge payment. First, this article analyzes the existence environment of the campus knowledge payment platform, and does a certain survey of the consumption potential of the college student consumer group, then elaborates the basic principles and technical advantages of the distributed ledger technology, and then conducts the operation process of the knowledge payment platform It is expounded and finally concluded that the campus knowledge payment platform project is worthy of promotion, and has prospects and research value.
Modelling and Performance Analysis of Standard Carriers for New Types of Motor Vehicles
Authors: Sun Zhanpeng
Published: March 2021

Along with the continuous advancement of global economic integration, international trade is gradually increasing, in global trade, more than 80% of goods are transported through the container, and the key to further improve the efficiency of global logistics and transport is to optimise and integrate the resources and advantages of different links in the smart container industry chain. This paper establishes a high- precision simulation model based on the new standard metal container and freshness container, carries out structural design and strength analysis, and further carries out lightweight optimisation; carries out design analysis of freshness preservation and cooling performance of freshness container.
Design of simulation system for trajectory of ship
Authors: Zhang Rongjun
Published: March 2021

In order to master the ship’s navigation dynamics in advance and take effective actions to avoid ship collision with bridge, a simulation system of ship’s navigation trajectory is designed. The hardware part designs the ship operation controller, defines the controller pin function and connects the peripheral circuit. In the software part, Kalman filter algorithm is used to eliminate the interference in the attenuation process, calculate the trajectory of the ship, and complete the design of the system. Through setting up the experimental environment, controlling the ship navigation environment parameters, using the measuring instrument to measure the deviation value under the experimental environment as the standard value, the simulation experiment is carried out by using the system described in this paper. The results show that the minimum deviation value error of the simulation system designed in this paper can reach 0.1M, and has high simulation accuracy, which can provide support for marine safety prevention work By reference.
Research on Bridge Deck Health Assessment System Based on BIM and Computer Vision Technology
Authors: Qian Zhixin , Li Yuxiang , Chen Yaowen
Published: March 2021

As one of the components of the transportation system, the bridge is safe to operate due to vehicle driving, human factors, or natural factors such as wind and earthquake and the degradation of the material itself. Affected. To avoid the impact on the service life and driving safety of the bridge deck caused by these reasons, this article uses the browser side as the development end, uses the BIM bridge model technology, and combines the computer vision technology sensor data to provide a computer visualization for the bridge deck management and maintenance department. Information-based bridge health information detection and evaluation program to solve difficult detection problems, high risk, high cost, time lag, and data fragmentation in the management department.
Forecast and analysis of COVID-19 epidemic based on improved SEIR model
Authors: Gu Borui
Published: March 2021

Since the outbreak of novel coronavirus pneumonia (COVID-19), China has taken effective measures to control the spread of the epidemic. By the end of April 2020, the global situation of coVID-19 (COVID-19) prevention and control is still very serious. In this paper, a mathematical model was established to predict the future trend of coVID-19 by studying its transmission routes, propagation speed, spatial range and dynamic mechanism. This article first analyzes the changes in the transmission route in chronological order. After understanding the transmission route of COVID-19, we started to study the transmission speed and used MATLAB to fit the data we found. Secondly, consider the spatial scope of the spread of new coronary pneumonia, and use FineBI software to draw static maps to reflect global medical record data. Finally, we further consider the immigration and emigration of the population, and use Euler’s numerical method to solve the established partial differential equation model to study the dynamic mechanism of the new coronavirus pneumonia (COVID-19). Through the above analysis, a modified SEIR transmission dynamics model considering the virus transmission ability of patients in the incubation period and the effect of tracking isolation intervention measures on the epidemic was established. At the end of this article, based on actual data, the revised SEIR model is used to predict the future trend of COVID-19.
On the influence of information technology on the development of public management
Authors: He Jinlian , Li Haoyue
Published: March 2021

The development of science and technology affects all sectors of society, as well as public management. In particular, with the continuous development of information technology, various information technology means are applied in the field of public management, which has played a strong role in promoting public management. Based on this, the article will start from the concept of public management and information technology analysis, explore the impact of information technology on public management.
Analysis on the Construction of Knowledge Graph of Mass Events Based on Ontology
Authors: Ren Binghua , Bu Fanliang , Hou Zhiwen , Fu Yihui , Liu Xiaoyuan
Published: March 2021

Mass incidents pose a serious threat to public order and national security, building a knowledge base in the field of mass incidents, visualizing the relationship between entities from incidents, and scientifically reasoning about key information about incidents have become key links in effectively responding to mass violence crimes. In view of the lack of existing mass incident knowledge graph analysis methods and strong subjective reasoning methods, based on the BiLSTM-CRF model, this paper analyzes event elements and entity associations by extracting entities from the text data of mass events, the protege software is used to construct the mass event ontology model, and the visualization of the mass event knowledge graph is realized based on the neo4j graph database. The research results show that the knowledge graph established in this paper can better reflect the correlation between the elements in the mass incident, and is of great significance to the national security department to improve the emergency decision-making ability.
Study on the influence of urban expansion on cultivated land utilization intensity in China
Authors: Zhang Panpan , Chang Min
Published: March 2021

Urbanization in China has led to significant changes in the utilization of cultivated land. This paper aims to further understand the relationship between urban expansion and agricultural land intensity based on predecessors. The results show that there is a negative correlation between urban expansion and cultivated land utilization intensity. Per capita cultivated land area, industrial development, per capita output input ratio of cultivated land utilization intensity have a certain impact. The relationship between urban expansion and arable land means that as cities continue to expand, arable land is likely to expand, and the pressure on China’s natural land resources will remain great in the future.
Research on the Development and Construction of Emei Wushu Research Camp under the Concept of Low Carbon and Environmental Protection
Authors: Song Jia
Published: March 2021

With the global environmental pollution and the lack of material resources, people are aware of the importance of ecological problems, and people begin to look at sports from an ecological perspective. Martial arts is a traditional sport of the Chinese nation. It has a long history and has evolved into today’s competitive martial arts after many years. The development status of Emishi martial arts is relatively slow compared to other provinces in China. This article will investigate and study the training venues of Emishi martial arts training institutions and the degree of support for martial arts projects by relevant government departments in various regions and cities. The environmental protection values of most training institutions do not meet the standards. There are few areas with standard competition venues. Local governments lack attention to martial arts and the reward system is not perfect. The study found that the application of Emishi martial arts aerobics in martial arts research camps from the perspective of ecological sports should be reflected in venues, props and costumes, music, teaching methods and non-intellectual factors. Choose a martial arts research camp with better air for the venue, environmental protection of props and clothing, music soothing to reduce noise, teaching methods and non-intellectual factors should follow the law of student development.
Research Progress of Spatio-Temporal Interpolation in the Field of Public Health
Authors: Liu Xin , Wang Fuju , Zhang Zhijie
Published: March 2021

The spatio-temporal interpolation method aims to use the existing spatio-temporal data to estimate missing values and to finely express the spatiotemporal distribution of the research content. The application of the spatiotemporal interpolation method in the field of public health is of great significance to the study of the spatiotemporal distribution and prevention of diseases. This article first introduces the principle of the current main spatiotemporal interpolation methods (spatiotemporal kriging, Bayesian maximum entropy, and regression-based methods) and their applications in the field of public health. Then analyze the advantages and disadvantages of different spatio-temporal interpolation methods. Finally, in view of the shortcomings of the existing spatio-temporal interpolation methods, the future development direction is proposed in order to enrich disease risk prediction methods.
The Simulation Analysis and Coupling Mechanism of harness and wire cable
Authors: Wu Nan , Jiang Peng , Zhang Junying
Published: March 2021

Considering the complexity of the electromagnetic environment, a large number of electronic equipment and cable harnesses are concentrated. For different environments, this paper is prepared to consider the three problems of cable crosstalk, field-line coupling and cable radiation, which basically covers all cable electromagnetic interference problems. Considering the changes of cable length, cable height from the ground, cable distance, angle and grounding mode, this paper also takes these factors into account and explores the results by changing these parameters. According to this, the anti-interference measures between the cables of Electrical Multiple Unit can be obtained.
Numerical Simulation Study on Failure of Graphite Heat Exchanger with Orifice Block
Authors: Dong Liang , Chen Yi , Tong Zhuanggen , Liu Chongyang , Yang Zhenguo
Published: March 2021

Phenolic impregnated graphite is a new kind of material with higher corrosion resistance and thermal conductivity. In the chemical industry, it is often used to make containers and pipes containing strong acid and alkali medium. It is the characteristic of phenolic resin impregnated graphite heat exchanger that the corrosion resistance and heat transfer efficiency of the heat exchanger are greatly improved. In this paper, a failure case of graphite heat exchanger in a chemical enterprise in Shanghai was analyzed by numerical simulation. According to the actual working conditions, the temperature field and flow field in the porous graphite heat exchanger were numerically simulated. The numerical simulation results of temperature field showed that the graphite block would be subject to thermal shock when the equipment was started and shut down, resulting in the increase of temperature difference of graphite block In addition, the pre tightening force of the flange of graphite heat exchanger was simulated by numerical simulation, and it was found that the position of stress concentration coincided with the crack position of actual failure, and the improvement suggestions were put forward for the structural design of graphite block.
Adaptive Cognitive Management and Knowledge Discovery Framework Based on Internet of Things Big Data
Authors: Bai Runxuan , Lv JianYu , Shang Chunnan
Published: March 2021

In the future of large-scale industrial automation applications in the Internet of Things big data management and knowledge discovery, the importance of the industrial Internet is increasing day by day. The Internet of Things (IoT), computing intelligence, machine type communication, big data and sensor technology and other diversification. Technology can be combined to improve the efficiency of data management and knowledge discovery for large-scale automated applications. To this end, we need to propose a cognitive-oriented IoT big data framework (COIB-framework) and its implementation architecture, IoT big data hierarchical architecture, data organization and knowledge exploration subsystems to achieve effective data management and knowledge discovery suitable for large-scale industrial automation applications. In this work, we need to propose a cognitive-oriented IoT big data framework (COIB-framework), as well as implementation architecture, IoT big data layered architecture, data organization and knowledge mining subsystems, to meet the needs of large-scale industrial automation applications. Discussion and analysis show that the proposed framework and architecture are based on the intelligent industrial application of IoT big data provides a reasonable solution.
Prediction of Fish School based on Neural Network and Gray Prediction
Authors: Cai MuZhen , Dong Bo , Xiao Yuhui
Published: March 2021

Rising ocean temperatures affect the distribution of fish. The livelihoods of many small Scottish fishing companies have also been affected. We designed a fish migration prediction model, a system that predicts fish migration and helps small fishing companies make decisions.

First, we creatively proposed the neural network algorithm modified to establish habitat evaluation model based on previous environmental data. Then, the gray prediction algorithm is used to predict the environmental data of each water area in the next 50 years, and the best habitat location of each year is evaluated by the evaluation model based on the environmental data. The migration route of the fish can be obtained by summarizing the best habitats each year in chronological order. We use the knowledge of graph theory to establish a "fishing judgment model" to determine whether small fisheries companies can catch fish in their fishing range. Then we use a triple nested loop to establish a continuous time calculation model, and use this model to discuss the continuous fishing time of a fishing company located in a certain place from a certain year in the future
Research on a Prediction algorithm of Bridge Engineering Mechanics parameters based on Deep Learning
Authors: Gao Xinyi
Published: March 2021

With the increase of the span of cable-stayed bridge, the influence of geometric nonlinear factors in engineering mechanics is becoming more and more obvious, so it is necessary to seek the construction alignment prediction method of long-span cable-stayed bridge considering the influence of geometric nonlinearity. In this paper, we analyze the basic principle and improvement measures of BP neural network algorithm, establish a prediction model with the help of Matlab language, and discuss its application in the construction control of long-span cable-stayed bridge. Taking a large span steel box girder cable-stayed bridge with a main span of 1088m as the engineering background, the rationality and feasibility of this method are verified, which provides a reference for the alignment control of the same type of bridge.
The Impact of In-Vehicle Voice Interaction System on Driving Safety
Authors: Ma Jun , Ding Yining
Published: March 2021

The development of intelligent connected vehicle (ICV) makes voice interaction an important interaction method in the car. The voice interaction system supports natural speech recognition and can complete a large number of secondary tasks. This paper is based on the Chinese market and 5 ICVs are screened out. Application scenarios for voice interaction systems are constructed through pre-survey. Using simulated driving platform which can be connected with mass-produced vehicle, data on visual demand can be obtained. From the visual demand aspects, the corresponding indicators are selected to analyze the impact of in-vehicle voice interaction system on driving safety.
Research on C4ISR Requirement Demonstrating Method Based on System Configuration
Authors: Jinfeng Li , Bingcheng Sun , zheng Dai
Published: March 2021

Requirement demonstrating is an important link of C4ISR construction. The paper design a requirement demonstrating architecture framework of C4ISR based on the research on DOD2.0. The paper describe how to design capability requirement view, information requirementview, services requirement view, systems requirement view, project requirement view and standards requirement view emphatically. Project viewpoints have great significance in the field of C4ISR requirement demonstrating.