bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Chinese License Plate Recognition Algorithm Based on Convolution Neural Network
Authors: Pu Baoqing
Published: March 2021

As an important part of intelligent traffic management, license plate recognition has very important research value. In order to solve the problem that the location of traditional license plate detection methods is not accurate and the detection results are easily affected by the environment, this paper proposes a license plate detection algorithm based on Faster R-CNN and Inception ResNet_v2, which realizes accurate license plate detection on VOC license plate data set by means of transfer learning. The effective extraction of a single character is realized by using the pixel statistics method in the detection results, and then the mLeNet5 convolution neural network model is designed to recognize the single character. The experimental results show that the algorithm can achieve efficient and accurate recognition of license plate characters with occlusion and angle tilt.
Research on Information Services Integrated Method Based on SOA
Authors: Li Jinfeng , Sun Bingcheng
Published: March 2021

The paper firstly analyze the current problems in the information services integration, then the architecture of information services integration based on SOA is designed. The paper also gives a integration method based on ESB and Web Service. Compare the differences between SOA and traditional integration methods. We know that the integration method based on SOA makes full advantage of the information services system. Results show that the method is scientific and easy to use.
Energy-saving solution based on the Internet of Things electronic boundary pile
Authors: Xia Weiran , Min Youjia , Pan Jicong , Jia Bowen
Published: March 2021

As an important tool of scope management, boundary pile is also an important basis for judging boundary violations and an important means for the supervision of industry authorities. However, the external environment where many boundaries are located is so bad that it is difficult to measure the manpower and material resources wasted in manual inspection and maintenance management every year. In view of this situation, a new type of boundary pile is designed in this paper, which can accurately locate the specific location of the problem by collecting GNSS (Global Navigation Satellite System) positioning information, and can also collect the surrounding state by carrying sensors, so as to save a lot of manpower and material resources for inspection.
Measurement of Road Slope based on Computer Vision
Authors: Guo Yuanxin , Chen Guanyu , Zhang Jiaming
Published: March 2021

This paper proposes a driving road slope measurement algorithm to provide a reference for adjusting the vertical angle of headlights. It uses a combination of Canny Edge Detection and Hough Transform to process images from camera to detect and fitting lanes. The angle of ramp can be calculated by Mathematical Model.
An Overview of Research on English Intelligent Phonetics Based on Deep Learning
Authors: Hu Huiping
Published: March 2021

With the continuous improvement of the development level of the socialist m arket economy, education has been gradually pushed into a new historical period. The development of computer science and technology and the progress of language teachin g and learning methods, especially the rise of artificial intelligence, have opened up ne w ways for English language learning. The core of computer-assisted English language learning is speech recognition and evaluation technology, and speech recognition tech nology is the key. This paper takes deep learning as the main research perspective, co mbing and elaborating the concept, training process, specific models and applications of deep learning, in order to apply deep learning technology to English speech recognit ion system more maturely, thereby helping English learning Enhance the learning abili ty of English pronunciation.
Research on The Model of UBI Car Insurance Rates Rating Based on CNN-Softmax Algorithm
Authors: Li Meijie , Sun Yanqi , Wang Xindong , Shi Yongkui
Published: March 2021

With the support of vehicular networking technology, the rating of UBI auto insurance rate has a certain guiding significance for accurate pricing of the rate and personalized demand. Based on CNN-Softmax algorithm, a rating model of UBI auto insurance rate is proposed in this paper. The model first performs a series of operations such as convolution, pooling, and non-linear activation function mapping on CNN algorithm to enable it to extract features based on UBI customers’ driving behavior data, and then uses Softmax algorithm to classify customers according to their driving behaviors, thereby obtain UBI customer’s auto insurance rate rating. The empirical results show that compared with, CNN algorith, BP neural network algorithm and SVM algorithm, CNN-Softmax algorithm has a higher discrimination accuracy in the risk assessment of UBI customers’ driving behavior. And it is easy to implement in establishing rating model of UBI auto insurance rate. What’s more, it also has a good robustness, which can achieve better grade evaluations.
Research on Manipulator Tracking Control Algorithm Based on RBF Neural Network
Authors: Chang Zhoulin , Hao Linzhao , Yan Qiyan , Ye Tianyu
Published: March 2021

According to the characteristics of strong coupling and highly nonlinear of manipulator, a trajectory tracking control method based on neural network is proposed. This paper makes full use of the neural network’s self-learning characteristics, parallel processing ability, nonlinear mapping ability, fault tolerance and so on, and combines it with other control methods to design a controller which can improve the tracking performance of manipulator. The simulation results show that the control method can improve the effectiveness and accuracy of robot arm trajectory tracking.
A Novel Sum and Difference Phase-comparison Algorithm for Uniform Circular Phase Array Radar
Authors: Dai Zheng , Gu Hong , Su Weimin
Published: March 2021

Phase-comparison of sum and difference angle measurement technique can be simply applied to uniform linear phased array radar. In contrast, it is not so simple for uniform circular phased array radar because the relation between ratio of difference to sum and target azimuth angle is complex. In this letter, we present this problem; based on derivation and approximate treatment, we propose an algorithm to solve this problem. The proposed algorithm is easy to implement and has good angle measurement performance. Computer simulations are shown to verify the efficacy of the proposed method.
Research on WSN Time Synchronization Algorithm Based on Smart Campus
Authors: Zhang Ling
Published: March 2021

The realization of the collection, transmission and processing of information is the three basic elements of a smart campus, among which data collection and transmission are inseparable from the participation of wireless sensor networks. In particular, the geographical area of the campus of colleges and universities is relatively large, the population is relatively dense, and the mobility and contact rate of personnel are high. Higher requirements are put forward for intelligent teaching management and campus safety management and control. In particular, the current large-scale outbreak of the new tube virus has been basically under control in our country, but because of the characteristics of college campuses, it is more likely to become a disaster area. Therefore, a large number of sensor nodes (monitoring, temperature, smoke, alarm, etc.) are deployed in the campus, and the emergency information of the school can be fed back and processed in time through the sensor network, thereby ensuring the safety of the campus. To build a large-scale sensor network, many technical issues must be considered. Among them, the time synchronization algorithm that can reduce network power consumption is one of the key technical indicators. This paper proposes time synchronization algorithm ideas from two aspects of cluster head synchronization and intra-cluster synchronization. It is applied to the time synchronization process of WSN nodes to reduce the energy consumption of WSN sensor nodes in smart campuses, thereby increasing the robustness of WSN networks.
Heavy Ion Irradiation Induced Single Particle Displacement Damage in 8T Global Shutter CMOS Image Sensor
Authors: Wang Bo , Kong Zebin , Xu Li , Ma Lindong , Lou Jianshe , Liu Weixin , Wang Kushu , Xuan Ming , Li Yudong
Published: March 2021

The single particle displacement damage effects and mechanisms in 8T Global Shutter CMOS image sensors (CISs) are studied. We provide radiation effects due to 129Xe ion irradiations of 8T Global Shutter CIS by the analyses of dark current spikes and dark current non-uniformity (DCUN). The experimental results show that low fluence irradiation-induced dark current distributions in 8T global shutter CIS exhibit a clear exponential hot pixel tail that appears difficult to match with cumulative radiation effect physical models. The degradation mechanism is a high electric field distribution exists at the overlap region between gate and pinned-photodiode (PPD). The emission rate of a defect can be dramatically enhanced via a high electric field. Irradiation-induced defects are the sources of the dark electron generation and the electric field acts as an amplifier.
Design of linear phase shift transformer and analytical calculation of no-load electromagnetic field
Authors: Guo Guoqiang , Zhao Jinghong , Wu Mei , Xiong Yiyong
Published: March 2021

Linear phase-shift transformer is a new type of transformer, which can be used in multi-rectifier and multi-inverter system. Taking the design of a linear phase-shifting transformer for multiple superimposed inverters as an example, a layered magnetic field analysis model of the linear phase-shifting transformer is established. Firstly, the primary side slot is treated as a smooth structure, then the model is layered and the current density of primary side is calculated by the single Fourier method Taking into account the boundary conditions of the transformer, the distribution expressions of the vector magnetic potential and the magnetic flux density in the solution region are derived, the relative permeability function of the air gap is established and the influence of the slot effect on the air gap electromagnetic field is calculated. In this paper, the distribution of electromagnetic field without load is calculated. Finally, the feasibility of the method is verified by simulation, which provides basis for the following engineering calculation and optimization design of linear transformer.
A new multi-decision based on Bayesian decision tree algorithm for ship recognition
Authors: Xia Qi , Wang Yu , Zhou Jian , Pei Shengqing , Geng Zhiqiang , Xiao Bende , Guo Zhihan , Shao Aijun , Yang Hongbo
Published: March 2021

Ship recognition is a key topic for intelligent shipping in canal. A new multi-decision algorithm based on Bayesian decision tree is proposed. The algorithm combine three Convolutional Neural Networks module - VGG, VGG19 and ResNet to get a better classify result. A quantization method is adopt to quantize the output of these network. A new method based on decision tree construct algorithm is proposed to improve the accurate of decision tree. In experiment, implement a various compared algorithms to prove the algorithm has better performance.
The Design Definition and Research of In-Car Digital AI Assistant
Authors: Ma Jun , Feng Xuejing , Gong Zaiyan , Zhang Qianwen
Published: March 2021

Nowadays, intelligent assistants, such as Apple’s Siri, are becoming integral to our daily lives, and they significantly change the way users interact with systems. Meanwhile, with the development of technologies, people continue to bring the experience of using intelligent products to the car, and the in-car intelligent assistant is also gradually being used. While there have been many studies focused on technologies, there are fewer studies dealing with design issues at the initial stage of the design, the stage prior to system implementation, such as how the personality of intelligent assistant should be, how to design the appearance, and the way of interacting, the designers had to rely on imagination. Therefore, we present a design method to define intelligent assistants, using the MBTI model combined with brand tonality to define the personality of intelligent assistants, then we determined the design direction of the appearance design based on user research and benchmark. Furthermore, the initial design scheme was screened from brand fitting and flexibility, and experts and users were invited to determine the most suitable scheme from the two dimensions of personality and symbolization. This design method allows designers and engineers to explore more precise design solutions and to improve the emotional design and user satisfaction of intelligent assistants before all the complex systems are ready to run.
Study on digital design of comic strip
Authors: Wang Yulie , Liu Xin
Published: March 2021

At present, we are in an era of rapid information development. The popularization of the Internet and mobile terminals makes information exchange more convenient. WeChat public platform, baidu, weibo, xiaohongshu and other platforms are still thriving. How to make the comic strip keep up with the trend of The Times, come into sight again, and become the popular spiritual and cultural products, is what the author wants to express in this article. Traditional paper comics can no longer meet people’s needs for convenience, timeliness and interaction, and today’s media era provides a broader platform for the development of comics. In the information age, everyone is creating images, reading images, and recording bits and pieces in the form of images, which has become a part of People’s Daily life, and comic books can re-enter everyone’s life in this way. It is the inheritance and development of traditional comics that endows them with the characteristics of the digital age, which can make them have the advantages that traditional comics do not have.
Design and Implementation of Primary School Students’ Oral Arithmetic System Based on Android Technology
Authors: Ouyang Guixiu
Published: March 2021

This paper introduces the importance of cultivating pupils’oral arithmetic ability. This paper designs and realizes students’ score management system based on Java technology. The system can automatically give oral arithmetic questions. When users answer questions, it can automatically judge whether the answers are correct or not, and put the questions they have done into the combo box for users to review.
Application of AI Technology in Defense of Big Data Network Security
Authors: Chen Yinda , Gao Xuanrui , Wu Xuechen
Published: March 2021

Artificial intelligence technology is a new technology based on computer science and technology, combined with Internet technology. It has been widely used in all walks of life. With the development of information technology, the coverage of the Internet is wider, more and more users are involved, and the transmission and sharing of information is more and more convenient. This makes people’s request for information security rise to a higher level. The arrival of the big data era has put forward higher requirements for the security protection of the information technology security personnel for the complex data. Artificial intelligence technology can solve this problem well in the application of big data security defense. Artificial intelligence technology can not only enhance the security of network information, but also will change the way people live in the future with the wider application in the network, which will profoundly affect people’s life in the information age.
Development and Implementation of Anti Phishing Wi-Fi and Information Security Protection APP based on Android
Authors: Chen Tianjun , Kong Dexin , Hong Yuxin
Published: March 2021

In the era of information revolution, China’s Internet construction has achieved unprecedented development. However, in the current public WiFi, the proportion of phishing WiFi with high risks is very high. This paper designs and implements a tool to detect wireless network security. It starts with the following: attack, defense, and detection. Firstly, based on the key technology of wireless attack, five functional modules of wireless attack system are designed. Then, by analyzing the shortcomings of traditional detection methods, a lightweight phishing attack detection scheme for the public is explored. The scheme is based on TMM algorithm and HDT algorithm. Finally, a phishing attack detection tool for operator network is designed and implemented based on the scheme, which can provide consumers with basic user information to connect WLAN, and detect the network effectively.The results show that all functions of the detection tool designed in this paper can run normally. It can meet the detection requirements of wireless phishing AP in the current environment and achieve the expected purpose, which has extensive market value and good scientific significance.
Research on an Image Denoising Algorithm based on Deep Network Learning
Authors: Liang Jian , Chen Pengxu , Wu Mian
Published: March 2021

In recent years, the learning method based on depth convolution neural network has achieved unprecedented results in image denoising, and it has become a research hotspot to obtain better image denoising effect by adjusting network structure and parameters. Noise reduction convolution neural network adopts residual learning method in depth neural network, which not only improves the effect of noise reduction, but also solves the problem of blind noise reduction to a certain extent. Its disadvantage is that the algorithm has a long convergence time. In this paper, the structure of noise reduction convolution neural network is further improved, and an image denoising algorithm based on deconvolution neural network is proposed. The main features of this paper are as follows: 1) in the original network structure, deconvolution neural network is introduced to optimize the residual learning method; 2) A new loss function calculation method is proposed. BSD68 and SET12 test data sets are used to verify the proposed method. The experimental results show that the noise reduction performance of this algorithm is compared with the noise reduction convolution neural network algorithm. Under the same noise reduction effect, the convergence time of this algorithm is shortened by 120%. 138%. At the same time, compared with the traditional deep learning image denoising algorithm, the denoising effect and running efficiency of this method are also improved.
Design and Implementation of Energy Internet Big Data System Based on Blockchain
Authors: Yang Dongwei , Fu Yuchen , Zheng Kaifa , Zheng Shangzhuo , Liu Zexin
Published: March 2021

Blockchain is a new application model that integrates distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, and other computer technologies. These technologies make blockchain traceable, reliable, and resistant to modification, characteristics that suit the need for data storage and exchange. As a result, in this paper, we design an energy internet big data system based on energy and blockchain technology systematically. Firstly, we discuss the basics that support for energy scheduling and policymaking of the management department, including energy data coordination, enterprise monitoring, and consumption monitoring, and trading services. Secondly, we develop the Unified Energy Reporting Service. It can generate the energy demand and supply table, production and sales table, demand forecast table, energy consumption monitoring table, environmental protection monitoring data, and energy data of critical customers. Finally, we ensure the storage and collection of evidence in our system, which would guarantee the electric security of the Winter Olympic Games.
Design and Optimization of Frame Steel Pipe Beveling Machine Based On FSC Racing
Authors: Gao Chengyuan
Published: March 2021

In recent years, with the enrichment of people’s material life, the demand for various competitive sports has also increased, and the racing industry is one of them. In a racing competition, manual polishing of the steel pipe grooves of the racing frame is a task with huge workload, harsh working environment and long working cycle, which is laborious and laborious. The research direction of this paper is to develop a semi-automatic steel pipe bevel cutting machine to reduce the workload of steel pipe bevel grinding of racing car frame.
Research on Scheduling Algorithm of Three-Stage Clos Switching Networks
Authors: Cao Dongtao , Ma Yimin
Published: March 2021

The three-stage Clos switching network is a kind of multi-stage switching network which is commonly used to build a high-speed and large-capacity switching network, and the scheduling algorithm of the switching network affects the performance of the switching network. The article introduces and analyzes the research ideas of the scheduling algorithm of the three-stage Clos network, and provides a reference for further research on high-performance scheduling algorithms.
Structure Design of Smart Reminder Medicine Box
Authors: Peng Jingyi , Jing Yuhang , Liu Zhipeng
Published: March 2021

With the aging of the population, the situation of pension problems is getting more and more serious. Aiming at the problems of old people forgetting to take medicine, taking wrong medicine, etc., a smart reminder medicine box that can be divided into medicine is designed to assist the old people to take medicine on time and take medicine quantitatively. The use of mechanical design to realize the convenience of adding medicines, the use of single-chip microcomputers to realize time reminders and control of the amount of medicines, and at the same time to realize the collection of information on the amount of medicines, can assist doctors in diagnosis and help businesses understand the market.
Research and Analysis of Generalized Predictive Identification Algorithm Based On Nonlinear System in Control Field of Hydropower Industry
Authors: Gou Xiaoping , Zhang Wanjun , Zhang Feng , Zhang Jingxuan , Zhang Jingyi , Zhang Jingyan
Published: March 2021

Due to the uncertainties, constraints, nonlinearity and the correlation among variables in the control of hydropower industry, it is difficult to obtain the accurate mathematical model. In this paper, a generalized predictive identification algorithm based on the nonlinear system in the control field of hydropower industry is presented, and a model of the generalized predictive identification algorithm based on the nonlinear system in the control field of hydropower industry is established AB simulation. The simulation results show that the algorithm is robust, can effectively overcome the system delay, and can be applied to the open-loop unstable non minimum phase system. It has strong applicability in the field of electric industry control and can produce good economic benefits.
Analysis of aerodynamic characteristics of missile with different sweep angle under supersonic condition
Authors: Yi Lin , Li Yu , Ma Liangzheng , Ao Yuntu , Wang Ying
Published: March 2021

The increasing complexity of the modern battlefield requires that the aircraft can achieve multi-mission and low energy operation. In this paper, the dynamic characteristics of the missile are analyzed by building a 3D model of the missile and CFD simulation, in order to study the dynamic characteristics of the missile at different swept back angles. The lift force and drag force of the missile under different sweeps are studied, and the influence of the variable sweep angle on the aerodynamic characteristics of the whole body is revealed.
Granular hypoplastic interface model considering surface roughness
Authors: Jong YongGwang , Ma YongMin , Liu Yang
Published: March 2021

The problem of soil-structure interface is an important part in studying of soil structure interaction. The interface between soil and structure is widely present in water conservancy, civil engineering, municipal and transportation projects. Roughness is the main factor affecting the mechanical properties of the contact surface. From this requirement, a new contact model has been developed that takes into account the relative surface roughness. It is based on the granular hypoplasticity. The experimental results are compared with simulations using the Mohr-Coulomb model and the new model, respectively. It is shown that the new models can represent the non-linearity of the mechanical properties of the contact surface and agree well with the experimental data.
2D DOA Estimation of Coherently Distributed Sources for Planar Arrays Based on Blind Signal Separation
Authors: Dai Zheng , Gu Hong
Published: March 2021

A novel method is presented to estimate the direction-of-arrival (DOA) of coherently distributed (CD) sources for planar arrays. In the proposed method, the two-dimensional (2D) angular parameters are obtained by making use of the estimated generalized array manifold matrix, which is separated from the received observation data based on blind signal separation algorithm. The proposed method offers a number of advantages. First, the 2D central DOAs and angular spread variances can be estimated simultaneously. Second, the deterministic angular distributed functions (DADFs) of the CD sources do not need to know. Third, the special array geometries are not required, as the method is applicable to planar arrays. Computer simulations are shown to verify the efficacy of the proposed method.
Research on Development-oriented IEEE MicroMouse Simulation System
Authors: Cao Jingming , Dai Shenghua , Na Lan , Li Zhengjiao , Zhou Xing , Li Zhaoyi
Published: March 2021

With the popularity of MicroMouse project growing up, more and more people have participated in this activity. However, it is not efficient to develop and debug a MicroMouse in a real environment, and it is difficult to observe the details of the robot’s motion state. This paper proposes a development-oriented IEEE MicroMouse simulation system that can accurately simulate the decision-making, control algorithm, and sensor information collection of real MicroMouse on embedded device, so that the development of mobile robots can free from the restricted of real environment.
Electronic fence device based on UWB positioning technology
Authors: Zhang Ting
Published: March 2021

The UWB high-precision positioning in the substation can realize the accurate judgment of indoor switch cabinet aisle spacing, limit the working scope of operators, and form an invisible electronic fence device. By installing positioning tags in the helmets worn by operators, real-time observation of personnel positioning can reduce the incidence of accidents and ensure the safety of electricity use.
Dimensional Analysis on the Variation of Fault Parameters of Rod-shaped Object by using Π Theorem
Authors: Wang Tianxu
Published: March 2021

The calculation of the pressure difference remains an important challenge in engineering. Pressure difference analysis for a typical configuration is presented, which consists of two same cylinders connected with a small cylinder. ANSYS FLUENT is utilized to explore the relationship between pressure difference and several other variables based on the Π theorem by changing the configuration of the model and the initial velocity of the fluid. According to Π theorem, the ΔP/v2p and 1/v are related to each other, which can be fit pretty well with quadratic relation from simulation results. Simultaneously, the radius of the connected cylinder has the greatest influence on the pressure difference. Within a certain range, the smaller the radius, the greater the pressure difference. These results can be guidelines for appliances with such structures in engineering.
Vibration Mode Analysis of ANSYS WORKBENCH-Based Garden Blower Impeller
Authors: Zhao Yaping
Published: March 2021

This paper mainly takes the wind impeller, the main structural component of the blower and suction machine, as the research object, uses Solidworks software to model the blower and suction machine wind impeller, and then uses the finite element software, ANSYS WORKBENCH, to conduct a modal analysis, and obtain the natural frequencies and corresponding vibration modes of the impeller of the blower and suction machine at different speeds. Among them, for a non-zero speed, the corresponding centrifugal force will inevitably be generated when it rotates. Therefore, for the case of non-zero speed, first analyze the corresponding prestress, and then analyze the first five natural frequencies of the impeller at the corresponding speed under the influence of the prestress. Through the analysis, the excitation frequency and speed of the impeller resonance are obtained.
5G Technology-Based Smart Power Distribution Station Simulation Design Specifications and Applications
Authors: Liu Kelong , Jiao Yang , He Chunguang
Published: March 2021

The paper develops a 5G-based simulation design of a smart power distribution room. Through 5G’s large-capacity, high-reliability connection technology, various operating data of the distribution network are collected in real time, so as to achieve a complete overview of the power environment and operating status of various power distribution rooms. Process data collection effectively improves the operation of safe equipment. At the same time, it provides massive basic inversion data for the interactive design of smart power distribution rooms, enhances the ability to control the power distribution room system and its equipment, and enhance the overall reliability of the power distribution room system.
An Optimal Scheduling Method for Numerical Weather Model Assimilation with Dense Observations
Authors: Cheng Xingguo , Zhuang Yuxing , Zhang Jiaqing
Published: March 2021

In this paper, the scheduling problem of dense observation data in a numerical weather model assimilation system is studied and an algorithm of "deal-reveal" is proposed. The algorithm identifies the area where all dense observation stations are located, and then obtains a certain number of grid point on which the value represents the stations quantity overlaid on it. The algorithm selects the stations with maximum value corresponding to the dense observation data iteratively and make the amount of each batch of dense observation stations as more as possible to reduce the batch number, enhances the overall performance of the system finally.
Research on Intrusion Detection Method of Industrial Internet Based on Machine Learning
Authors: Xu Yanfa
Published: March 2021

The mobile Adhoc network (MANET) is being used more and more widely, and the related network security issues have also begun to receive widespread attention. Researching the MANET network’s possible attack methods, the paper proposes an intrusion detection performance evaluation model based on machine learning technology and proposes a comprehensive evaluation index. It compares seven machine learning algorithms’ performance in MANET network intrusion detection, sufficient for building security. The MANET network is of great significance. Use the GloMoSim simulation tool to simulate the MANET network’s normal behavior and the three intrusions of black hole, flood, and packet loss, and analyze the performance of seven machine learning algorithms in various attack situations in various attack situations detail. Our analysis results show that the evaluation model can better reflect the performance of various machine learning algorithms. Multilayer perceptrons, logistic regression, and support vector machines have higher detection rates and lower false alarm rates.
New Media User Behaviour Research Based on Big Data Analysis
Authors: Zhu Zhixuan
Published: March 2021

With the rapid development of diversified business models and market segments in the era of big data, many industries are facing the dual challenges of high customer acquisition costs and churn rates. How to accurately obtain user behavior data has become a top priority. This article uses big data technology to scientifically analyze the ratings and behavior data of new media users. Through new media user behavior analysis, we can accurately discover user behavior characteristics, optimize users’ personalized experience, and bring better new media business operations—basis for decision-making.
Research on Forecasting Volatility Rate of Financial Market based on GARCH and Neural Networks
Authors: Liu Yuanji , Zhang Boyang , Xu Fengchen
Published: March 2021

Aiming at the problem of irregular volatility in financial markets, this paper studies prediction algorithms based on GARCH class model and BP neural network model. In this paper, we compare the prediction accuracy between three kinds of GARCH base models and seven neural networks models. Results show that GARCH class model has a new neural network which can enhance volatility prediction accuracy; GARCH class model better, its variables as input value to neural network combination model help larger; additional introduction similar model variables reduce neural network combination model performance unless the new model variable brings information improvement advantages cover its data redundancy shortcomings.
Capsule Neural Network Based Error Correlation Potential Detection for EEG Topographies
Authors: Wang Qingyu , Wei Lan , Zhou Zhengkang , Wang Zhuoer
Published: March 2021

At present, the detection of error-related potentials is useful for the application of real-time error instruction correction techniques in brain-machine interface online systems. This paper, however, proposes a strategy for error-correlation potential detection based on EEG topographies, which translate the sequence of EEG topographies over time into a spatial position relationship between the features contained in different pictures. As the capsule network incorporates relative position relationships between features, i.e., positional information, a high classification accuracy can be achieved with a small dataset. Experimental evaluation has shown that the proposed method yields significant performance improvements compared to conventional processing methods.
Model to Predict Wartime Equipment Waste Based on Multiple Regression Analysis
Authors: Li Ziqi , Chen Guiming , Li Qiaoyang
Published: March 2021

Predicting wartime equipment waste has not only been a research topic at home and abroad but is also difficult. Traditional research methods emphasize the trend of wartime equipment waste but ignore the effects of influencing variables. This paper discusses the influencing factors of wartime equipment waste and proposes a model to predict wartime equipment waste based on multiple regression analysis. An ordinary least-squares approach is used to estimate the parameters of the model. The significance of the model and regression coefficient is evaluated by the complex correlation coefficient and the t-test, respectively. Ways to optimize and improve the model in future studies are discussed. Expressions to calculate the prediction value and prediction interval are given. This paper establishes three main factors that can be quantified and have a certain sample size: combat time, failure rate, and military input. First, a conventional multiple linear regression model is established. Based on the results of the significance test, the model is iteratively analyzed and optimized. Second, a stepwise regression method is used to screen the independent variables, and a weighted least- square estimation is used to evaluate the influence of changes in the automatic variables on the residual. Finally, a multivariate nonlinear regression approach using a weighted ternary quadratic polynomial model for statistical data is discussed and established. Results from testing indicate that the proposed model has good significance, feasibility, and practical application.
Research on the Construction of Highway Traffic Digital Twin System Based on 3D GIS Technology
Authors: Wang Songchun , Zhang Fa , Qin Ting
Published: March 2021

Under the background of smart city construction, modern information technology has been continuously innovated and developed, which has effectively promoted the development of highway transportation in China, and GIS technology has effectively promoted the development speed of highway transportation informationization in China. As an important geographic information system, GIS technology has obvious technical advantages in traffic information data collection, information data analysis and processing, and promotes the road traffic to develop towards informationization gradually. In order to accelerate the mature development of road transportation, with the support of GIS technology, the road transportation digital twin system is gradually constructed. As a revolutionary technology in the development of highway transportation, digital technology promotes the development of highway transportation in a green, open, and shared direction, laying a solid foundation for the quality of highway engineering construction. Based on this, this article analyzes the overview of GIS technology, explores the digital twin technology, and specifically discusses the modeling process of the road traffic digital twin system, in order to verify the feasibility of the practical application of the road traffic digital twin system.
Research on the Innovation Radiation of Shanghai Science and Technology Innovation Center to the Yangtze River Delta
Authors: Sun Xiaoyan
Published: March 2021

By constructing a regional innovation capability evaluation index system, comprehensively measuring the innovation capabilities of cities in the Yangtze River Delta region, and using the modified gravity model to construct the basic spatial radiation framework for innovation in the Yangtze River Delta region, it is important for Shanghai Science and Technology Innovation Center and 26 core cities in the Yangtze River Delta region. The innovative radiation intensity was measured and analyzed, and further visualized analysis was made with the help of ArcGIS10.5 software. The results show that Shanghai Science and Technology Innovation Center is at the core of the innovation spatial structure of the Yangtze River Delta, but the scope of innovation radiation is relatively small; the spatial distribution of urban innovation in the Yangtze River Delta region is obviously unbalanced; the innovation environment is in the development of urban innovation. The role is increasingly obvious. Based on this, a number of suggestions for the Shanghai Science and Technology Innovation Center to lead the realization of the coordinated development of innovation in the Yangtze River Delta are put forward.
Classificatory Analysis of Disputes on the Right of New Plant Varieties Based on LDA Model
Authors: Zhou Mingyue , Yang Yu
Published: March 2021

This paper takes the judgments between 2011 and 2020 on disputes on the right of new plant varieties from China Judgments Online as the object of research and uses LDA (Latent Dirichlet Allocation) subject model algorithm to analyze the causes and content of these infringement disputes with keyword extraction. With the help of LDA, it finds that China’s disputes over the right of new plant varieties are mainly concentrated in four aspects: the lack of consistent standards for the identification of "new varieties"; the difficulty in responsibility division between the stakeholders involved; the ambiguity in the identification of "propagating materials" and unclear causes of exemption system.
Design of English Translation System Based on Deep Learning
Authors: Ting Yang
Published: March 2021

Intelligent translation software is one of the important tools for people to learn, but the existing intelligent translation system usually needs to be further improved in terms of the flexible application of phrases and the accurate expression of professional vocabulary. The translation system based on deep learning designed in this paper mainly includes professional vocabulary database module, memory analysis module, English translation module and correction module. The professional vocabulary module accurately classifies words related to various disciplines. The memory analysis module compares the professional vocabulary usage in published documents on the Internet to analyze and memorize, so as to recommend relatively accurate professional vocabulary to enter the translation module. Need to enter the correction module to complete the correction of grammar and phrases, and finally complete the translation task with higher accuracy.
Coal Price Prediction based on LSTM
Authors: Pan Sitong
Published: March 2021

The price of coal has always been the focus of the government and is affected by various factors. This paper uses days, weeks and months as time units to establish a Long-Short Term Memory Recurrent Neural Network Model (LSTM RNN) to predict the change trend of coal prices. The accuracy and sensitivity of the model are tested, and the results show that the model is stable and has high accuracy
An Hotspot Prediction Approach of Scientific Research Based on Autonomously Evolutionary Learner
Authors: Ma Yan , Zou Lida , Han Yingkun , Ma Lei
Published: March 2021

Hotspot prediction of scientific research is a new application in information domain. Big-data analytics technique is a critical way of improving prediction efficiency. Scientific researching data have a high dimension and are from different domains. Just using a single learner is hard to solve the problem. In the paper we adopt several deep neural networks to find the proper data dimension and network structure. The genetic algorithm is introduced as well to fasten the whole prediction. The proposed approach performs well in accuracy ratio and recall ratio compared with the benchmark algorithms. The genetic algorithm and pruning method largely improve its performance as well.
A Review of Main Eye Movement Tracking Methods
Authors: Li Zhaowei , Guo Peiyuan , Song Chen
Published: March 2021

The study of eye movement has been last for centuries. Over the past decade, scientists have developed many new eye-tracking methods. During that same period, technological innovations have made eye-tracking units more affordable. The article provides a systematic review on some main eye-tracking methods. This paper also includes the factors that may influence the eye-gaze tracking and the application of gaze estimation in many areas. In this article, we provide information on eye tracking in hopes of improving the quality and reporting of eye-tracking research in communication.
Research on the Application of Computer Network Technology Under the Background of Artificial Intelligence Cloud Technology
Authors: Meng Qingwei
Published: March 2021

On the basis of timely processing of network situation information, effective responses to network attacks with dynamic evolution characteristics are the main problems faced by cyberspace security defines mechanisms. The application of artificial intelligence technology can strengthen the intelligent characteristics of this system. This article mainly starts with the related concepts of artificial intelligence technology and cyberspace defines, and explores the application measures and development trends of this technology in cyberspace security defines.
Research and Implementation of Network Security Management Based on Virtualization Technology
Authors: Ni Zhimin , Zhao Fan
Published: March 2021

With the rapid development of the Internet application, virtualization technology and network security management, combining the resources of science and technology information has become one of the network security management subject, because information system is becoming increasingly complex, software and hardware not compatible, the network security and the waste of resources seriously influence the efficiency of the information office, at the same time also increased the complexity of the network operation and maintenance and cost and energy consumption. This paper, by using virtualization technology to construct the virtual network, optimize the integration of existing server resources, saving operation and maintenance costs, reduce energy consumption, improve equipment utilization. Using the virtual firewall, virtual routing and virtual intrusion detection and other new technology was used to construct the network security system.
Research on lightweight web intrusion active defense key technology and visual measurement model based on dynamic ip black list
Authors: Zhao Fan , Ni Zhimin
Published: March 2021

In view of the existing passive detection and prevention methods and lack of commercial products are expensive and complex deployment problem of a simple and fast active defense technology of WEB dynamic real-time active defense, in order to solve the problem of attack and defense for WEB server. Firstly, based on reverse proxy massive WAF logs, the mathematical model of user access behavior is established, and the behavior characteristics of malicious WEB attacks are studied through data mining analysis. Then, a threat factor algorithm and a dynamic IP blacklist generation algorithm are designed based on these features and a custom rule base. Finally, based on visual measurement model, D3 WEB visualization technology is used to monitor and measure WEB intrusion. The technology reduces the false alarm and false positive rate of active defense, improves the defense effect and execution efficiency, and ensures the quality of normal network communication.
Design and Numerical Simulation of a Ball Cutting Type Energy Absorber Device
Authors: Hu Zhiqing , Guo Liming , Zhang Yuheng
Published: March 2021

This paper is verified by numerical simulation and experiment. Based on the principle of energy absorption in metal cutting process, this paper presents a new type of energy absorption structure, which can improve the collision performance of urban rail vehicles. The structure is composed of solid energy absorption tube, hard ball, anti-crawling board and mounting board. Based on the nonlinear dynamic simulation theory and the explicit algorithm of finite element software ABAQUS, the finite element model of the structure of the cutting type energy absorber was established, and the energy absorption process was simulated. Based on the verified simulation model, the influences of the design parameters such as the cutting depth and the number of balls on the energy absorption process are analyzed. It is found that the design parameters affect the cutting force and energy absorption, and the structure has a good energy absorption effect during the collision.
Establishmen of Real-time PCR for detecting Bibersteinia trehalosi for rpop gene
Authors: Wang Xiang , Luo Yilin , Zhou Lijun , Luo Zidan , Wang Yin , Yao Xueping , Luo Yan , Yang Zexiao
Published: March 2021

Bibersteinia trehalosi is a zoonosis bacterial species, There are few reports of the disease in our country, and there is no fast, sensitive and efficient detection method have been developded. Therefore, the Quantitative Real-time PCR (q-PCR) for detecting Bibersteinia trehalosi has been established, and the specific primers desigened based on the conserved sequence of Bibersteinia trehalosi rpoβ gene, the method was constucted by optimizing reaction conditions and then subjected the sensitivity, specificity, reproducibility, and clinical samples test. The results indicated a good linear relationship when the concentration of standard substance ranged between 1.20×101~1.20×105 copies/μL. Inaddition, the minimum detectable concentration was 1.20×10−2 copies/μL. There are no cross reaction with 20 kinds of bacteria and viruses. All of the CV values of intra-groups and intra-groups were less than 3%.The results showed that the method has the advantages of high sensitivity, strong specificity, good stability, high accuracy and rapid detection. It can be used for early diagnosis of infections in Bibersteinia trehalosi, as well as rapid detection and quantitative analysis of samples.