bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.