bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of laser power and scan speed on the microstructure and properties of GH4169 alloy prepared by selective laser melting
Authors: Chen Jianguo , Wang Xuanbo , Pan Yingcai 
Published: December 2019

AbstractIn this work, GH4169 alloy prepared by selective laser melting (SLM) used the domestic SLM equipment, the effects of different laser power and scan speed on the density, microstructure and mechanical properties of GH4169 alloy were systematically studied. The results showed that the density and hardness of SLM products increased with the increase of laser power. When the laser power was 300 W, The microstructure of alloy was uniform, and the density and Vickers hardness of alloy were 8.19 g/cm3and 345.6 HV, respectively. The laser transferred energy decreased with the increase of scan speed, which cause more holes and cracks in the alloy. The smaller scan speed, the larger width and smaller height of ichthyoid microstructure. When the scan speed was lower than 1400 mm/s, the L and H were about 110 μm and 50 μm respectively, and the solidified structure was uniform and dense.
Experimental Study on Deep Hole Drilling of TC18 Titanium Alloy Based on BTA
Authors: Liu Zhanfeng , Song Ziyang , Li Wenjie , Li Zhong 
Published: December 2019

Abstract
TC18 titanium alloy has problems such as difficult chip removal and chip removal, severe tool wear and skew of the hole axis during deep hole machining, which seriously affects the surface quality of the inner hole. Therefore, this test carried out the BTA deep hole drilling test for TC18 titanium alloy, and studied and analyzed the problems of chip shape change, tool wear and hole axis deflection during machining. The test results show that the chip shape is longer and more developed with the increase of the spindle speed, and the bending is longer and more curved with the decrease of the feed amount; the tool wear is serious during the drilling process, and the reasonable process parameters can reduce the wear of the tool; The cutting force, the rigidity of the drill pipe and the arrangement of the guide blocks are important factors affecting the deflection of the hole axis.
Research on the roundness error separation method for precision spindle based on harmonic wavelet de-noise and mathematical statistics method
Authors: Zhang Shihai 
Published: December 2019

Abstract
Based on the online measurement and evaluation technologies of roundness error for precision machine tool spindle, not only the processing quality of spindle component can be evaluated, but also form error and surface roughness of machining workpiece can be forecasted, and then the suitable compensation control methods can be implemented to improve the processing accuracy of workpiece. According to the geometric characteristics of the roundness error, the combinatorial method of mathematical statistics and harmonic wavelet de-noise is proposed to separate the roundness error of the spindle. First, the collected signal by the sensor is filtered by harmonic wavelet de-noise method, and then the roundness error signal is separated by the mathematical statistics method. The simulation analysis shows that the high separating accuracy of roundness error can be obtained even in the case of small sample by the proposed method in the paper.
The angle adjustment method of the cleaning end effector for the surface of rocket tank based on machine vision
Authors: Liu Xiaodong , Xu Haibo , Qian Yingkun , Sun Lifan , Li Liu 
Published: December 2019

Abstract
According to the actual engineering needs, the angle adjustment method of cleaning end effector for the surface of rocket tank was studied. In this paper, the PID control model was established to adjust the angle. Through the image processing algorithm, the angle between the robot cleaning end plane and the rocket tank surface was measured. Taking the angle as the controlt arget, the angle θ measured by the visual real-time is used as the feedback information, and the PI algorithm is used as the angle adjustment method. The experimental platform for angle measurement is built. After experimental verification, the method of angle measurement based on machine vision can meet the actual demand and the angle adjustment method is feasible, which is of great significance for realizing the cleaning automation of rocket tanks. This method can greatly improve the cleaning efficiency for the rocket tank surface.
Application of viscosity-reducing Polycarboxylate Superplasticizer in PHC Pumping Pipe Pile Production
Authors: Qiu Yuetao 
Published: December 2019

Abstract
Using 3-methyl-3-buten-1-ol polyoxyethylene ethers (the TPEG), acrylic acid (AA), methyl acrylate (MA) monomer, ammonium persulfate (APS) and hydrogen peroxide Vitamin C- (Vc-H2O2) composite initiation, thioglycolic acid (TGA) as a chain transfer agent, a reduced viscosity polycarboxylate superplasticizer (PCE-RV) was synthesized by aqueous solution free radical polymerization. The test and comparison and economic benefit analysis of the viscosity-reducing polycarboxylic acid high performance water reducer applied to PHC pipe piles were carried out.
Pedestrian violations crossing behavior at signal intersections: A case study in Anning District of Lanzhou
Authors: Gong Qihong , Xiao Liang , Xu Mengtong 
Published: December 2019

Abstract
Pedestrian violations crossing behavior at intersections can easily lead to traffic disorder, accidents, injuries and deaths. This paper conducts a case study in Anning District of Lanzhou City to investigate the pedestrian violations by field observation, questionnaires and video recording. Out of 2852 identified valid pedestrian crossing samples at signalized intersections are randomly selected, of which 617 are involved as illegal violation samples. The factors affecting the violations are extracted and divided into internal and external factors. The internal ones are according to age and gender factors, while the external factors contain the crosswalk length, crossing time, headway, red light duration and number of partners. The results show that the rate of violation crossing among the elderly pedestrian is higher than that of other age categories and the rate of male is slightly higher than that of female. In the external factors, the crosswalk length, the crossing time and the headway of motor vehicle are positive correlation with the violation rate. For the signal light part, the longer red light duration means longer waiting time and the pedestrian violation rate will significantly increase. Furthermore the countdown signals are conducive to reducing the violation rate compared with no countdown display. Interestingly, the violation rate do not increase with the number of companions, however it’s more prone to violation for the individual pedestrians. Based on the above analysis, the corresponding solving strategies are proposed.
Research on the Influence of Shanghai-Kunming High-speed Railway on the Economics of Cities along the Line Based on Optimized Gravity Model
Authors: Xu Yuping , Zhou Qiuming 
Published: December 2019

Abstract
With the continuous growth of the demand for inter-regional personnel exchanges between modern social and economic development, high-speed railways, as a modern means of transportation that combines various high-tech, play an important role in meeting the high demand for mobility among regions and promoting social development. Among them, Shanghai-Kunming high-speed railway, as an important part of China’s high-speed railway network, deserves in-depth study. In this paper, the city quality is obtained by comprehensive evaluation of cities along the line by entropy method. The time distance is used to replace the spatial distance. The gravitational model of the city is optimized, and the gravitational change between cities along the line before and after the opening of the Shanghai-Kunming high-speed railway is more scientifically described. Finally, the paper proposes that the opening of the Shanghai-Kunming high-speed railway can effectively promote the economic development of cities along the line, especially the rapid rise of western cities.
Analysis of the Color on the Tunnel Portal Based on the Drivers’ Heart Rate
Authors: Duan Yongsheng , Wei Yang , Shang Ting , Sheng Qijin 
Published: December 2019

Abstract
In order to investigate the influence of the color on the tunnel portal on drivers’ heart rate under dynamic visual conditions, road experiments were carried out with different colors and at different driving speeds with the same color. PsyLAB physiological recorder was used to record the eight drivers’ heart rate under different scenes based on which the influence of the colors on the tunnel portal on drivers’ heart rate under different driving speeds was further analyzed, and the trend surface relation model among the driving speed, color and drivers’ heart rate was established. The results showed that when the value of the color was reduced, i.e. when the color brightness was increased, the drivers’ average heart rate was increased, which could improve the drivers’ attention; the driving speed was in direct proportion to the drivers’ heart rate with the same color, i.e. the faster the speed, the bigger the drivers’ average heart rate.
Study on Design Parameters Setting for the Jug-handle-type Far-leading Intersection
Authors: Hu Tao , Chen Jingsheng 
Published: December 2019

Abstract
The left-turn traffic on the sub-arterial road at the intersection has a greater impact on the intersection traffic, the collision of vehicles can be reduced and the efficiency of the intersection will be improved by setting the Jug-handle-type far-leading (JHTFL) on the left-turn traffic flow through the sub-arterial road. In this paper, the applicable conditions and traffic flow organization method of the horizontal JHTFL intersection is analysed. Taking the minimum delay as the goal, several calculation models of the key geometric parameters are built, such as the length of the speed-change lane in front the ramp entrance, the distance between the ramp entrance and the main intersection, the queue length of the far-leading vehicles on the ramp and the length of the ramp, etc. The calculation methods for the delay and capacity of the JHTFL intersection are also presented. The feasibility of the above methods is verified by an example. Under certain conditions, we can find the left-turning traffic flow at the intersections can effectively reduce the number of signal phases and the average delay of the vehicle through the simulation. The results indicate the horizontal JHTFL intersection method has a good application value for optimizing the design of urban intersections.
Characteristics and Renovation Project of Green Logistics System in Henan Province
Authors: Liu Zhan-Yu , Wang Man-Man , Sun Xia-Ling 
Published: December 2019

Abstract
Green development is at the core of the One Belt And One Road initiative and is also a requirement for high-quality economic development. This paper takes 18 cities in Henan province as the research object, analyzes the restricting factors of the development of green logistics based on system science theory, and then evaluates the characteristics of the green logistics system with the Super-SBM and Malmquist index considering the non-expected output, and finally explores the driving factors affecting the green logistics system based on the spatio-temporal analysis results. The results show that the calculation results considering the non-expected output are more consistent with the actual situation. The absolute difference of green logistics fluctuates, while the relative difference fluctuates. The decomposition index fluctuates greatly in western henan and is relatively stable in eastern henan. The evolution characteristics of green logistics in henan province have gone through three stages of decline, fluctuation and recovery, with different development drivers in each stage, mainly driven by logistics demand, policy and market technology.
Traffic Sign Recognition with a small convolutional neural network
Authors: Li Wenhui , Li Daihui , Zeng Shangyou 
Published: December 2019

Abstract
Traffic sign recognition is an important part of the intelligent transportation system and has important application prospects in driverless vehicles and driver assistance systems[1]. In the image recognition of traffic signs, according to the image features of traffic signs, the common methods include traditional template matching method[2], SVM method[3], random forest[4] and the best Convolutional Neural Networks (CNN) method. In this paper, a new CNN is proposed. Feature extraction, compared with the traditional CNN method, has higher accuracy, fewer parameters, smaller models and easier training, which is evaluated on the German Traffic Sign Recognition Benchmark (GTSRB) and the Belgium Traffic Sign Dataset (BTSD). The results show that this method is superior to the traditional CNN method in traffic identification.
Analysis of the Characteristics of Weighted Complex Public Transit Network in Xining City
Authors: Han Pu 
Published: December 2019

Abstract
Urban public transit network is a typical and complex network. The existing complex urban public transit network is expressed as Space P, Space R and Space L, and such expressions describe the topological relationship between nodes and edges in an unweighted network. In order to better understand the essences and evolving mechanisms behind the public transit network, this paper modeled a weighted Space R network to explore its complex characteristics. The statistical analysis showed that, in the weighted complex ground public transit network in Xining City, both the node degree and strength obeyed the power-law distribution, and the clustering coefficient and average shortest path length were relatively small. The analysis results in this paper may provide a reference for the design and improvement of the urban public transit network.
Construction of Control Information System and Dynamic Safety Risk Management for Metro Construction
Authors: Li Meng , Wu Dengfeng , Gong Yujie 
Published: December 2019

Abstract
The index system of on-site and surrounding environment monitoring and on-site inspection has been established, and according to the information platform, 8 modules of subway construction dynamic safety risk management and control information system are developed, and the mobile phone APP function is integrated, which is applied to the whole process of subway construction risk management and control. The results show that on-site patrol and risk points dynamic tracking is the core work of the subway construction risk dynamic management; The use of risk management and control information system can improve the efficiency of risk management during the subway construction. The integration of mobile phone patrol APP can improve the timeliness of risk control.
Grey Correlation Analysis of Logistics Information Service Industry and Three Industries in China
Authors: Wang Xiaomin , Yi Zhang , Li Jinhui , Meng Zhang , Wang Zhixin 
Published: December 2019

Abstract
On the basis of analysing and defining the industry classification of logistics information service industry, select the statistical data of logistics information service industry and three industries in China in 2017, use the grey relational analysis method to analyse the related interactive development of logistics information service industry and three industries in different provinces with different economic development levels in China, reveal the objective requirements of the development of China’s logistics information service industry.
Layout of Guidance Signs in Passenger Hubs based on Passenger Activity Line
Authors: Yue Hao , Zhang Mengyu , Duan Yifeng , Yang Bingjian 
Published: December 2019

Abstract
The layout of guide signs in passenger transport hubs is an important part of the traffic design of transport hubs. Firstly, based on the spatial layout and activity type of passenger transport hub, the functional areas are divided and the active passenger flows are extracted based on the passenger’s moving path, so as to construct the active passenger flow network. Then the hierarchy, level and rank of the guide signs are analysed. Finally, taking a passenger station in Jiangsu as an example, the research can provide theoretical support for the layout of the guiding signs in the integrated passenger transportation hub.
Research on order allocation of single-cycle multi-type logistics service
Authors: Hu Yanyong , Fan Zhiqiang 
Published: December 2019

Abstract
Based on the logistics service supply chain, there are many fuzzy factors in the real market competition environment, and the relationship between them is complicated, in order to make the research more in line with the actual situation. In this paper, the supply capacity of logistics service providers and the demand for logistics service capacity are set as fuzzy variables, and the problem of order allocation of logistics service supply chain under fuzzy environment is studied. Firstly, the problem is described, and the multi-objective logistics service order allocation model with fuzzy parameters is established. Secondly, the credibility theory is used to fuzzed. Finally, the feasibility of the calculation model is verified by a specific example, and the logistics service integrator is used. The order allocation decision provides a theoretical basis.
Intelligent method of customs inspection platform based on machine vision
Authors: Wang Yali , Fu Xing , Li Hong 
Published: December 2019

Abstract
In the existing customs inspection, the inspection of outbound goods includes recording the arrival time of containers, opening and closing of containers, and the departure time of containers. This method takes a lot of time to manually record the relevant information of each container and manually input it to the server. This paper presents an intelligent method of customs inspection platform based on machine vision, through the analysis of collected video information processing, the inspection of each node in the process of time, behavior, such as digital processing, database, automatically record each inspection position of the box, opening time, sorting, inspection, packing, closing time, leaving time, behavior, compliance and other information. It greatly improves the efficiency and safety of container inspection and avoids the random and uncertain behavior of manual record. This system can automatically record the dynamic changes of containers in the storage yard in real time without anyone participating, improve the digitization and accuracy of the information of container state changes, reduce the working intensity of customs personnel, and reduce the working risks of personnel in the storage yard.
A review of AI Technologies for Wearable Devices
Authors: Jin Chun Yu 
Published: December 2019

Abstract
With the popularity of wearable devices, we can collect various data to support a series of innovative applications. The complex and massive data requires stronger data processing technologies. In recent years, artificial intelligence technology has been used to process this rich but complex data. In this paper, we summarize the research of AI technologies for wearable devices, from the aspects of types of wearable devices, collected data, models, and applications. We find that artificial intelligence technology has not only made a breakthrough in performance over traditional methods, but also creates a series of new applications. For the future research directions, we also point out some problems, e.g., the sensor data measurement and classification are not accurate enough, which would inspires the following research to investigate further.
Cooperation Strategy of Retailer Drop-Shipping in Dual-Channel Supply Chain under Non-Cooperative Game
Authors: Fang Huang , Han Song 
Published: December 2019

Abstract
Focusing on dual-channel supply chain involving both traditional channel and e-commerce channel, this paper analyses the supply chain decision in retailer drop shipping and manufacturer drop shipping, explores the conditions for the manufacturer and the retailer to select retailer drop shipping, and identifies their cooperative strategies in retailer drop shipping. The results show that the cooperative interval of drop shipping commission will expand with the increase in the market share of e-commerce channel, and vice versa. However, the expansion or shrink of the market capacity does not necessarily lead to increase or decrease in the drop shipping commission.
Performance Evaluation of Urban Management Government’s Public Service: Based on the Data of Beijing Government Performance Survey
Authors: Wang Cong , Yan Zhou , Liu Chong-Rui 
Published: December 2019

Abstract
Beijing municipal government performance entrusts the third party survey organizations to survey the municipal authorities in three aspects-duty performance, administrative service and performance improvement. This report adopts the relevant survey data, and analyzes the public service of municipal authorities. This report addresses the subjects from evaluation of the overall situation, structure characteristics, and historical comparison. According to statistical results, this report summarizes the main problems of public service of Beijing municipal authorities, and finds possible reasons. Finally this report puts forward suggestions.
Research on demand forecast of vehicle turnover equipment based on GM(1,1)-BP combined model
Authors: Zhang Dapeng , Li Fengju , Wang Fengzhong , Xie Xinpeng 
Published: December 2019

Abstract
According to the historical data characteristics of vehicle turnover equipment demand, a GM (1,1) - BP combined model is established. Firstly, GM (1,1) model is used to forecast the historical data of vehicle turnover equipment demand. On this basis, BP neural network is introduced to correct the residual of the prediction. It optimizes the forecasting method of vehicle turnover equipment demand, makes up the deficiency of single model, and enhances the accuracy of vehicle turnover equipment demand forecasting.
A Multi-attribute Decision-making Optimization Algorithm Based on Conflict Evidence Fusion and Cloud Model
Authors: Zichun Ni , Wang Xuan , Peng Di 
Published: December 2019

Abstract
To eliminate fuzziness and uncertainty of linguistic comments in multi-attribute decision-making, this paper introduces D-S evidence theory into cloud model assessment. Golden section method is employed to convert experts’ linguistic comments into cloud decision-making matrix, and then criterion clouds of different levels in comment set are taken as the reference to determine the membership to each level of assessment, so as to construct the basic probability allocation function (mass function) for different experts in respect of different attributes in different schemes. Thereafter, conflict coefficient, Jousselme distance, and Pignistic probability distance are introduced on the basis of D-S evidence theory to define evidence conflict measure. By calculating evidence reliability and relative expert weight, mass functions for experts are modified and fused. In the end, mass functions of different schemes are fused on the basis of attribute weight, and compared with the mass functions of ideal cloud and negative ideal cloud. Therefore, optimal scheme will be determined by comparing average closeness.