bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study On Train Routing Plan Of Y-Line Of Urban Rail Transit Considering Passenger Travel Purpose
Authors: Liu Yu , Han Baoming 
Published: May 2020

Abstract
Through the questionnaire survey on the passengers of the case line, the travel purpose of the passengers is divided into three categories: leisure, commuting and business. Based on the analysis of the rules of passenger’s choice of route, the model of passenger’s choice of route and the model of route planning are established, and the parameters of logic model are calibrated according to the results of questionnaire survey, and the generalized cost of passenger’s travel is obtained by considering the degree of train congestion. The validity of passenger flow distribution model and routing planning model is verified by solving the case line model.
The Development of the Assistant Driving and Monitoring and Assessment System for Missile Weapon Special Vehicles
Authors: Cui Hong-liang 
Published: May 2020

Abstract
Based on the analysis and study of the characteristics of missile weapon special vehicles, combined with the problems existing in the driving operation training process of the military drivers, an assistant driving and monitoring and assessment system for missile weapon special vehicles is developed. The design ideas of the hardware modules of the system and the realization methods of the software design of each subsystem are introduced in detail. Finally, the application effect of the system in the training of equipment formations of National Day parade is illustrated.
RBF Neural Network Based Correction Iterative Learning Control for Direct-drive Pump-controlled Clutch Actuator
Authors: Wang Jieyu , Gao Bingzhao , Chen Hong 
Published: May 2020

Abstract
This paper mainly focuses on the motion control of a novel direct-drive pump-controlled clutch-actuator system. The RBF neural network and iterative learning control method are combined to perform fast and accurate position tracking for dynamic nonlinear systems with high uncertainty. And the simulink and AMEsim co-simulation is carried out under different conditions. The simulation results confirm that the proposed RBF neural network based correction ILC controller has sufficient practicability and is suitable for the direct-drive pump-controlled actuator motion control conditions.
Vehicle Mass Identification Based on Two-axle and Two-mass Vibration Model
Authors: Wang Zhenyu , Li Ming , Wang Haoyu 
Published: May 2020

Abstract
The mass of the vehicle is an important parameter, through which many other performance indicators of the vehicle can be measured. The traditional method of vehicle mass identification is mainly through fixed platform detection station and weighing in motion. In this paper, a two-axle and two-mass vibration model is established to identify the vehicle mass, which takes the free vibration frequency of suspension as input and outputs the vehicle mass. Firstly, when the vehicle passes a specific excitation, the two-mass model composed of suspension and wheels generates free vibration, and then its main frequency is obtained. And then the mathematic relation between the vehicle mass and the main frequency is established through the two-axle vibration model, and the vehicle mass is obtained. Simulation in TruckSim shows that the average relative error between the identified mass and the actual mass is 6.27%. In practical application, the free vibration frequency of the suspension can be obtained by image recognition or displacement sensor, so as to identify the vehicle mass.
Research on the development of cold chain logistics of aquatic products in Zhoushan of China
Authors: Han Zhi , Fang Yunrui , Hua Linhui , Ma Qingwen , Wang JingXing , Gao Junkai , Yuan Pengxiang 
Published: May 2020

Abstract
Aquatic products are very ideal healthy food. Cold chain logistics is an effective way to ensure the quality of aquatic products in the circulation process. Zhoushan City (China) is situated in Zhoushan archipelago. Zhoushan fishing ground is the largest fishing ground in China, with abundant fishery resources. This paper expounds the theory of cold chain logistics, analyzes the present situation of cold chain logistics of Zhoushan aquatic products, points out the problems existing in cold chain logistics of Zhoushan aquatic products, and puts forward corresponding solutions, which has a positive role in promoting the development of cold chain logistics of Zhoushan aquatic products.
Research on Influencing Factors of Automotive Body-in-White Laser Welding Quality
Authors: Yue Zhang 
Published: May 2020

Abstract
Laser welding technology is fast, advanced, and flexible. It is the key technology to ensure the development of new automotive products. It is also a technology to improve product quality and reduce costs. However, the application of laser technology in automobile manufacturing still has a certain distance compared with foreign countries. In order to improve the competitiveness of the automotive industry, it is necessary to strengthen the research on the application of laser welding technology in automobile body-in-white. This article will start with the factors that affect the quality of laser welding of automobile body-in-white, and based on the analysis of laser welding mechanism and related characteristics, talk about the influence of laser welding power and give relevant solutions welding speed on the quality of laser welding of automobile body-in-white.
A Study on the Network Characteristics of the Road Collection and Distribution System of Tianjin Port
Authors: Guanhui Wang 
Published: May 2020

Abstract
The competition among ports is changing from the competition in internal collection and distribution system to that in hinterland, in which road network plays a very important role. Focusing on the hinterland road network of Tianjin Port, this study takes it as a network, and analyzes its network topology feature. The conclusion has guiding significance for the optimization of Tianjin Port road network.
A speed guidance strategy based on cooperative vehicle-infrastructure environment at signalized intersections
Authors: Xu Liping , Deng Mingjun 
Published: May 2020

Abstract
It is a problem that most traffic scholars have been studying to enable motor vehicles to pass through signalized intersections without parking or with little parking, so as to improve the traffic efficiency of urban road network and reduce congestion. In the vehicle-road collaboration environment, speed guidance strategy has become an effective solution and trend, aiming at the characteristics and shortcomings of the current trunk signal coordination control as a passive response control based on vehicle arrival drive. In this paper, the principle of speed guidance strategy at signalized intersections is systematically proposed, and the corresponding speed guidance strategy model is proposed according to the different traffic conditions when the guided vehicles arrive at the intersections. This strategy can make the guided vehicles pass through the intersections without stopping or stopping time at least, reduce the delay of vehicles and improve the traffic efficiency at the intersections.
Research and evaluation of one-way traffic setting method
Authors: Zhu Tengzhou , Deng Mingjun , Gong Yongtai , Huang Xinyong 
Published: May 2020

Abstract
As an effective means of traffic organization, one-way traffic plays an important role in easing traffic congestion. However, the reality is often a one-way traffic organization based on experience, and new traffic problems have emerged during the implementation process. Based on the discussion of one-way traffic setting conditions, this paper models and evaluates the one-way traffic organization scheme that meets the conditions. The fuzzy distribution-analytic hierarchy process is used to evaluate the traffic patency, safety, economy, comfort and environmental impact of the organization scheme. Then, the setting condition-evaluation method is applied to the actual case in combination with VISSIM simulation for inspection. Finally, the experimental results show that the setting conditions-evaluation method can provide a scientific basis for the design and comparison process of one-way traffic organization.
Design and Implementation of Vehicle Collision Detection and Alarm System Based on Smartphone
Authors: Yang Ding , Deng Mingjun , Jiang Xueqing 
Published: May 2020

Abstract
Every year, there are a large number of people died in traffic accidents in our country. If people can get help in time after a traffic accident, the survival rate of the people who are treated can be greatly increased. Therefore, it is very necessary to have a system that can detect traffic accidents and call the police or notify the rescuers in time. According to the survey and analysis, the functions of some similar systems in China are not perfect and most of the cost are high, which cannot be widely promoted in China with a high private car base. Based on the acceleration sequence value obtained by the smartphone accelerometer, this project designs the vehicle collision detection algorithm and realizes the collision detection during the driving process of the vehicle in the android environment. When a collision event is detected, the system can promptly send the collision information to the preset phone number and drive the camera function of the mobile phone, perform instant photo forensics on the scene, and finally send the help information and the accident photo to the preset phone number. The project system can realize the detection and alarm function of automobile collision accidents in time, and provide timely rescue after the collision accident.
Research on Cold Chain Logistics Path Optimization Considering Cascading Failure
Authors: Fan Zifu , Ding Huilin , Zhang Wei 
Published: May 2020

Abstract
Considering that the storage and transportation products in cold chain logistics are perishable and deteriorate easily, in the actual distribution process, the cascading failure of urban roads will affect the transit times and distribution costs of delivery vehicles. According to the cascading failure process under the edge failure condition, a new diversion rule is established, and then the distribution cost is associated with the transportation speed. The cold chain logistics distribution path optimization model is established, with minimal distribution costs as its objective function, and a Dijkstra-GA algorithm is developed. The Dijkstra-GA hybrid algorithm solves the model. The model is verified by simulation examples. The simulation results verify the applicability of the model and the algorithm.
Research on Electric Vehicles Considering V2G Technology in Photovoltaic Residential Areas
Authors: Ma Shanting , Su Haifeng , Yu Yibing 
Published: May 2020

Abstract
With the emergence of global energy crisis, electric vehicles and photovoltaic power generation have been widely used as an effective way. However, the connection of large-scale electric vehicles and the uncertainty of photovoltaic power generation also do harm to the operation of the power distribution system. In order to solve the problem that electrical load of resident varies big between peak and valley caused by disordered charging of electric vehicles, this paper constructed a cooperative scheduling model for V2G electric vehicles and photovoltaic power generation. Taking residential community as research background, this paper try to solve the SOC threshold of electric vehicle discharge by reducing the grid load variance and the objective function. The reasonable SOC threshold is optimized by the improved particle swarm optimization algorithm, and the reasonable SOC threshold can be compared and analyzed to reduce the load variance value more effectively. Finally, the paper takes one residential area as an example to prove the rationality and practicality of the proposed model.
Evaluation of Induction Heating Effects on Asphalt Concretes Containing Waste Steel Shavings and Iron-based Particles
Authors: Pang Qi , Zhang Jiangbo , Gao Lei , Sun Bo , Yao Shenglei 
Published: May 2020

Abstract
The self-healing ability of asphalt has great benefits for the service of asphalt pavement, while this ability is not significant at room temperature. This paper utilized waste steel shavings (WSS) and iron-based particles (IBP) as conductor materials, and induction heating technology to heat asphalt concretes. High temperature rutting test, low temperature cracking test and freeze-thaw splitting test were carried out to evaluate the effect of WSS and IBP on the pavement performance of asphalt concretes, and induction heating test was conducted to analyse the heating efficiency. Results shows that both WSS and IBP are beneficial to high temperature performance of asphalt concrete, but not good for low temperature performance. Besides, WSS and IBP has no significant impact on the water stability. Considering the pavement performance and induction heating efficiency, 6%-8% WSS with 2% IBP is recommended.
A Real-time Traffic Sign Detection Model Based on Improved YOLOv3
Authors: Liu XiongFei , Xiong Fan 
Published: May 2020

Abstract
Advanced driver assistance system, which can quickly and accurately detect driver assistance personnel, ensure traffic safety, and play an important role in guiding road traffic signs. However, traditional detection models often have false detection, missed detection, and predicted low accuracy of the target box, especially for the Identification of small targets, its accuracy is difficult to meet the requirements. Therefore, based on the target detection algorithm model YOLOv3, this paper replaces the common two-dimensional convolution with dilated convolution and expands the receptive field, At the end of the model, a three-layer spatial pyramid cascade structure is added to make the multi-scale feature map deep fusion. finally, the improved model is tested for performance on the GTSDB dataset. The results show that the improved model implemented in this paper can effectively solve some problems in the actual road traffic sign detection, and meet the requirements of real-time detection.
Bridge Deterioration Analysis Based on Censored Data: A Case Study in Yunnan Province
Authors: He Xin , Wang Wei , Hu Weidi , Zhang Hanyu 
Published: May 2020

AbstractBridge deterioration reflects the change of bridge condition and it is caused by many factors. Predicting bridge deterioration as a research problem has attracted increasing attention around the world. Most methods contrived in previous work and the results are satisfactory. Despite their considerable success, these methods are weighed down by some problems. First, nature environment and climate factors are not considered. Second, they neglected the existence of censored data. Censored data means that the event outcome of interest can’t be observed exactly because of some reasons. It is usual in bridge deterioration prediction and will cause deviation between the prediction result and the actual situation. In this paper, we propose a method to tackle the censored data issue and add nature environment and climate factors into deterioration analysis. This method uses an indicator variable to identify censored data in parameter estimation. In order to ensure the objectiveness of experiment, data collected from the Yunnan Communications Investment & Construction Group LTD are used in this study. Empirical results show that different structure and material of bridge may have different effect on bridge condition. In addition, we confirmed that nature environment and climate can affect the deterioration rate of bridge comparing with other factors in Yunnan Province. The bridges in the areas with moderate temperature and large precipitation may deteriorate more slowly. These findings are important for bridge management and maintenance.
Application of RBF Sliding Mode Control in Pump System for Electric Vehicle Heat Air Conditioning
Authors: Zheng Taixiong , Hou Xiaokang , Yuan Rongdi 
Published: May 2020

Abstract
Aiming at the characteristics of time-varying, time-delay and non-linearity of electric vehicle heat pump air-conditioning system, this paper presents a sliding mode control method based on RBF neural network. The RBF neural network can approximate the nonlinear function with arbitrary precision under certain conditions, and has strong self-learning and self-adaptive ability. Combining the RBF neural network with the sliding mode variable structure control not only has the anti-interference of the sliding mode control and the robustness to the parameter changes, but also effectively reduces the flutter caused by the sliding mode control. The simulation results show that the RBF neural network sliding mode control method can improve the system control accuracy, effectively weaken the chattering, and has good adaptability to the interference conditions.
Research on the application of big data technology in government management
Authors: Chen Mingtsung , He Jiaqi 
Published: May 2020

Abstract
With the advent of the new technology times, big data technology has been widely used as an important strategy of comprehensive social governance. The development of big data not only represents huge amount of data, advanced information technology and huge business opportunities, but also is an effective method to solve problems, transform the world and explore new ideas and scientific applications in the future. However, big data in economic development does not mean that it can replace all the rational thinking of social problems. The logic of scientific development cannot be annihilated in the mass data. In this era of rapid development of intelligent hardware, an important problem for application developers is how to find the delicate balance between power, coverage, transmission rate and cost. Enterprise organizations can use relevant data and analysis to help them reduce costs, improve efficiency, develop new products and make more informed business decisions.
Analysis of microblog public opinion based on big data technology
Authors: Cai Baojing , Li Wensi 
Published: May 2020

Abstract
With the advent of new technology era, big data technology has been widely used in the public communication of mainstream media and become an important strategy. With the continuous progress of the times, big data has entered thousands of households. The arrival of the mainstream media in the new era has changed the traditional public opinion environment, and also brought new challenges to the mainstream media how to deal with the sudden public opinion correctly. Sudden public events are easy to cause public opinion, which is easy to spread, ferment, and even lead to the aggravation of social contradictions. In the field of public communication vision, this paper analyzes the characteristics of public communication of new mainstream media, points out that the new mainstream media face the challenge of news release and public opinion guidance in the current major emergencies, focuses on the analysis of the public opinion guidance effect of people’s daily micro blog in the communication process of Changchun long life vaccine event, and expounds the public communication of the current official public opinion field in new media What should be done in broadcasting. Under the influence of public opinion crisis, how the new mainstream media to use the communication strategy to guide the citizens’ network participation scientifically and correctly, and then solve the social contradictions efficiently has become an important topic.
Research on Personal Data Protection of EU General Data Protection Regulation
Authors: Hu Pengnian , Wei Qian 
Published: May 2020

Abstract
The EU’s General Data Protection Regulation (hereinafter referred to as GDPR), which came into effect on May 25, 2018, is the most concerned personal data protection legal document in the world, and it will inevitably have a profound impact on the construction of personal data protection systems in other countries and regions. It is generally believed that the GDPR is a further implementation and extension of the EU’s consistent position to strengthen the protection of personal data as a basic right.
Simulation Research on Influence of Neural Networks Scale on its Performance
Authors: Wu Xilei 
Published: May 2020

Abstract
When using deep learning methods to deal with specific problems, the structure and configuration complexity of neural networks model have a great impact on the performance of the system. This paper constructed a multi-layer perceptual neural networks model basing on classification problem of film and television reviews. The paper also analyzed the forward and back propagation, processing algorithm and key parameter optimization method, and built the simulation environment. By adjusting the network depth and the number of neurons in each layer, the paper analyzed the influence of the complexity of the neural networks model on the network performance. Then the paper gave the analysis results under the condition of different model scale. Finally the paper purported conclusion in the last section that the performance of the neural networks model changes greatly with number of neurons in each layer changed, but the performance changes little with network depth changed. It can provide an important reference for two classification problems in different fields.
RETRACTED: Problems And Solutions Of China’s Credit Rating Industry Under The Background Of Big Data
Authors: Liu Liang 
Published: May 2020

Abstract
Customer credit rating adopts scientific methods and standardized procedures to investigate, analyze, evaluate, measure and review the ability of rating objects. The objective of the system is to fulfill corresponding economic commitments. Today, big data enriches the data source of credit data that surpasses that of traditional financial data. This paper starts with the concept of enterprise credit rating system, through the understanding of credit rating system and the combination with big data, to understand the existing problems and the causes of the current credit rating system in China.
Discussion of the Risks and Supervision of Financial Big Data Applications
Authors: Ma Liyun 
Published: May 2020

Abstract
With the innovation of big data finance, the existing financial industry and financial institution structure have been affected to a certain extent, and the risk of financial market has undergone a profound change. In the development of Internet finance, big data technology has been recognized and widely used in various industries, financial big data and Internet finance are two important players to transform the competitiveness of the financial industry for Chinese financial ecology. In order to identify the risks in financial markets in the application of financial big data, we need to make clear the characteristics of financial big data. The essence of big data finance is financial innovation. In the process of financial innovation, it not only increases the volatility of the financial system, but also causes the homogenization of financial market. The purpose of this paper is to analyze the risks of big data in finance, to clarify the important matters of financial big data supervision, and to improve the relevant laws and regulations, strengthen the information sharing mechanism and other big data financial supervision measures in view of the existing data monopoly, personal privacy leakage and many other issues, and to provide theoretical reference for the development of big data finance and the ecological stability of financial market in China.