bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gradation Design and Performance of OGFC-13 Steel Slag Permeable Asphalt Concrete
Authors: Fan Shen , Pang Ruonan , Wei Guosu , Lu Ji , Fang Sifa 
Published: December 2019

Abstract
Steel slag permeable asphalt concrete was prepared with steel slag as aggregate and mineral powder as filler. The percentage passing rate of each grade of aggregate was calculated through the screening results of each grade of aggregate. The mixing ratio of five groups of raw materials was pre-designed according to the specifications of highway asphalt pavement, and the data with 2.36mm and 4.75mm as the key sieve holes were verified by mathematical regression method. Based on this, by testing the road performance of the standard Marshall specimens produced by the pre-designed five-component ratio, the optimal ratio of asphalt mixture with a voidage of 20.5% is obtained: w (13.2-9.5mm) : w (9.5-4.75mm) : w (4.75-2.36mm) : w (2.36-0mm) : w (ore powder)=45:41:5:6:3. The Marshall stability of steel slag permeable asphalt mixture prepared according to this ratio is 6.07KN, 5.65KN by soaking Marshall, 93.08% by residual stability, 2698 times/mm by dynamic stability, and 45.3 by seepage coefficient. All technical indicators meet the requirements of asphalt pavement construction technical specificatio.
Study on the Appropriate Level of Motor Vehicles in Shenyang
Authors: Zeng Tong 
Published: December 2019

Abstract
Based on the urban box theory model, a maximum limit model for vehicle exhaust emissions was established to determine the maximum limit of NOX emissions in Shenyang. Based on the model for calculating the appropriate level of vehicle ownership in Shenyang City, the vehicle ownership was calculated under different standards, promoting the grey prediction of motor vehicle ownership in Shenyang city. Studying the appropriate level of motor vehicle ownership in Shenyang city can help reduce urban traffic pollution to a greater extent and ensure people’s happy life.
Prediction of dilatancy of tunnel surrounding rock in coal measure strata: A case study of Huainan mining area
Authors: Yin Zhiqiang , Zhang Xiangyang , Ma Haifeng 
Published: December 2019

Abstract
In this study, the dilatancy of tunnel surrounding rock in coal measure strata was comprehensively investigated by means of field monitoring, theory analysis and algorithm analysis. The study reveals that dilatancy is related to many phenomena of coal mine disasters such as gas outburst, rib spalling and rock burst. Accordingly, the method of predicting these phenomena through dilatancy monitoring was proposed. Furthermore, a method based on support vector machine was proposed to predict the dilatancy of coal seams, and the dilatancy limit of coal and rock mass was defined as the criterion for judging whether a working face was to undergo dynamic disasters. A working face will undergo disasters when its dilatancy exceeds the dilatancy limit, in which case the support of working face should be strengthened. The criterion was then verified in the stope. The research results have important guiding significance for prediction and prevention of coal seam disasters.
Research on Cycling Distance Based on Cyclist Perception
Authors: Li Ruiyan , Ji Shujuan , Wang Yuanqing 
Published: December 2019

Abstract
Traffic congestion and environmental pollution have become more serious problems in the urban development process, and the choice of bicycle travel can effectively improve these problems. Firstly, this paper adopts stated preference (SP) survey, taking the bicycle survey in Xi’an as a data sample to analyse the influencing factors of cyclists’ path choice based on understanding the cyclist’s perception. It is found that mixed traffic is the main factor affecting the proportion of bicycle trips. Then, using revealed preference (RP) survey obtains the OD and path of cyclists and records bicycle facilities settings along the way. Based on the above conclusions, a multivariate linear regression model is established for the logarithmic value of the actual cycling distance and the cycling distance of various bicycle facilities. It is found that adding 1 km of cycling lanes separated with obstacles, cycling lanes separated with dashes adjacent to bus lanes and cycling lanes without bicycle facilities, cyclists are willing to increase the cycling distance by 1.968 km, 1.433 km and 1.405 km.
The optimization of traffic congestions in big cities: the role of the motor vehicle restriction mechanism
Authors: Mou Enmin , Zhou Yaodong , Sun Zhaoyu 
Published: December 2019

Abstract
In large cities, the traffic congestion has become an important issue that hinders urban economic development. The motor vehicle restriction policy is an important means for big cities to reduce traffic congestions, and is also used by many large cities around the world. According to the practical experience in Beijing, this paper makes the survey to analyze the impact of restrictive policies on residents’ travel choices and takes travel habits into consideration, to provide an urban traffic congestion solution. This paper argues that the restriction policy as an effective way to optimize the traffic in large cities by reducing the proportion of motor vehicle travel choice by 33.2%. In addition, travel habits as a conductive mechanism play the key role in solution of urban traffic congestions.
Visual analytics on big data of urban traffic trajectories
Authors: Hao Wu , Lin Zhang , Shao Ziyi 
Published: December 2019

Abstract
With the rapid development of Smart city and Big data concepts and technologies, how to quickly and accurately organize and reflect traffic data information has become the main topic of current research for urban traffic trajectory big data with increasing geometric quantity. Traffic trajectory visualization is favored for its ability to visually and vividly reflect traffic trajectory information. In this paper, the main research results of visual analysis of urban traffic trajectories in recent years are summarized from three main methods: direct visualization, aggregate visualization and feature visualization. The problems and future prospects of urban traffic trajectory data visual analysis research are summarized.
Effect of Air Filter on Performance of S1110 Diesel Engine
Authors: Yang An-Jie , Song Zhong-Jie , Yang Jian-Wei , Zhao Cheng-Jian 
Published: December 2019

Abstract
Single-cylinder diesel engine are manufactured in large numbers and widely used in china. Both industry and academia are spending efforts to improve its performance by reducing the exhaust emission level, vibration, noise and energy consumption. This article studies the effects of different air filters on the perfomrance of a S1110 single-cylinder diesel engine. Through the load characteristic and speed characteristic bench tests, output power, torque, smoke and other parameters under different working conditions were measured. The results show that the new designed air filter (type-B) has significantly improved the power and economy of the diesel engine, and the exhaust smoke is significantly reduced.
Research on Fuzzy Comprehensive Evaluation Model of Ship type Main Dimension
Authors: Wei Hongbin 
Published: December 2019

Abstract
In order to formulate the main dimensions of standard ship form systematically and reasonably, this paper first systematically comb the development status of the main dimensions of standard ship form at home and abroad. For foreign countries, from the perspective of waterway standards and the development time of inland river standard ship form construction, this paper discusses the development process of ship form standardization in the United States and the European Union; for domestic countries, from the perspective of the relevant management documents of waterway and inland river navigation ships that have been issued, the development process of ship form standardization in China is discussed. Secondly, a fuzzy comprehensive evaluation model is established by using the theory of fuzzy mathematics and the comprehensive evaluation method. This paper discusses the selection of evaluation indexes in the evaluation method by using the benefit analysis of participants, analyses the composition of the existing standardization index system of ship form, and delimits the factors for the selection of evaluation indexes. Finally, the formulation principle and composition of the evaluation index system are given.
Research on Development Status of “Multiple-plan Integration” and Urban Comprehensive Transportation Planning
Authors: Wei Linghong , Yin Yixiao , Zhong Guo 
Published: December 2019

Abstract
The Central Committee of the Party and the State Council attach great importance to the work of Multi-plan Integration, and explicitly request that the work should be promoted at many meetings. As one planning of “Multiple-plan Integration”, the coordinated development of urban comprehensive transportation planning with Multi-plan involves many links such as planning, construction, operation and management. At present, there are some problems between urban comprehensive transportation planning and Multiple-plan, such as insufficient content interaction and collaboration, lack of effective communication and feedback. On the basis of fully understanding the theory of Multiple-plan and urban comprehensive transportation planning, the paper sorts out and analyses the development status of the above two and the reasons for the existing problems, combines with relevant domestic urban cases, studies and puts forward the related requirements of “Multiple-plan Integration” on urban comprehensive transportation planning, which provides a theoretical basis for the further development of urban comprehensive transportation planning.
Rationality Analysis of Channel Maintenance Scale in Long River Section
Authors: Yu Yuhuan , Li Zhaoyang , Liu Xinglong 
Published: December 2019

Abstract
Based on the actual maintenance scale of the waterway of Changjiang Wuhan Waterway Bureau in 2018, this paper compared and analyzed the width-depth ratio of the actual maintenance scale of each reach, and the ratio of the actual maintenance scale to the monthly planned maintenance scale. Then, the rationality of channel scale is further analyzed, and the rational analysis of channel maintenance scale is explored, which can provide support for the assistant decision-making of digital channel of Yangtze River.
Research on trouble diagnosis method of braking anti-lock system based on vehicle data flow
Authors: Zhang Tianhao , Xu Shuquan , Liu Fujia 
Published: December 2019

Abstract
Trouble diagnosis method of anti-lock braking system based on vehicle data flow was proposed. The selection principles of trouble diagnosis parameters and trouble modes were analyzed firstly, then 3 trouble modes and 9 parameters including four wheels’ speed, vehicle speed, brake pedal position, steering wheel angle, lateral acceleration and yaw rate were selected based on SAE J1939, 48 sets of test data were obtained by vehicle trouble simulation test. The test data were pretreated to form 32 sets of training samples and 16 sets of test samples, and then neural network models were trained and validated. The accuracy of the test results reach 100% by adjusting and optimizing smoothing factor values. The results show that the neural network model based on vehicle data flow can achieve accurate trouble diagnosis.
Applying GPS Time-Differenced Carrier Phase velocity estimation for Calibration of LDV/INS Integrated Navigation Systems in land vehicles
Authors: Zhu Yingjie , Wang Xingshu , Zhao Yingwei 
Published: December 2019

Abstract
The laser Doppler velocimeter (LDV) is integrated with inertial navigation systems (INS) to form an integrated navigation system to acquire the land vehicle’s orientation, velocity, and position. As an integrated navigation system, the calibration items, including scale factor error of the LDV and the installation angle error between the INS and the LDV, should be well calibrated; otherwise the accuracy of navigation performance will be seriously affected. The paper represents a method about applying time-differenced carrier phase observations to deliver accurate reference velocity for calibration instead of differenced GPS (DGPS) or precise point position (PPP). The differential carrier phase between successive GPS epochs eliminates the effort of ambiguity and it is able to achieve millimetre-level relative velocity accuracy within minutes. In order to make up for the insufficient of calibration time, a iteration method is implemented for fast convergence. The navigation experiment shows that the calibrated LDV/INS navigation system can reach 34.7m/25.5km in horizon and 4.8m/25.5km in vertical.
Matlab Simulation of Electromagnetic Waves Propagation Characteristics
Authors: Shi Jiahe , Shen Jiaxin , Wang Haojie , Chen Yilin , Xiao Hongliang , Li Xueru 
Published: December 2019

Abstract
Military technology has developed rapidly in recent years and used widely in marine communications, maritime aviation, and underwater exploration. With the rapid development of signal processing and antenna technologies, underwater electromagnetic communication has received much attention. Since water is a conductive medium, characteristics exhibited by electromagnetic waves in water are fundamentally different from those in oil. In order to better study the propagation characteristics of electromagnetic waves within the medium, the simulation of the electromagnetic wave propagation in water and oil were conducted using MATLAB, and variation of the electric field and magnetic field vector with time were obtained. Moreover, the three-dimensional real-time graphics of electromagnetic wave propagation can also be simulated in MATLAB; different patterns of electromagnetic waves propagating in oil and water were generated.
Characteristic Analysis and Prediction Modeling of Car-sharing User Rental Based on Fisher Ordered Clustering
Authors: Zhi Ru , Zhang Jun , Bi Jun , Zhuang Zhen , Sai Qiu-Yue 
Published: December 2019

Abstract
This work explores the characteristics of the rental behavior of Carsharing users on the basis of actual operation data from a car-sharing company in Beijing, China. Considering the random fluctuation of carsharing rental, the original data are clustered by fisher ordered clustering algorithm, and one day is divided into five time periods. Then we construct the SARIMA model for all data and the combination model of five SARIMA in different time periods. Finally, the evaluation indicators are calculated to compare the two modeling effects. The result is that establishing SARIMA prediction model after the use of fisher ordered clustering algorithm to divide the time period is better and the prediction accuracy is higher.
Prediction of silent users of car-sharing based on Logistic Regression Model
Authors: Bi Jun , Yuan Zun , Sai Qiuyue , Xie Dongfan 
Published: December 2019

Abstract
Car-sharing is a new transportation mode with the rapid development of mobile Internet. It is necessary for the operation companies to keep the number of carsharing users and intelligent transportation can be realized by discovering the users before they loss and preventing the loss. In this paper, based on the massive order data of a car-sharing company in Beijing, the behavior of the users is analyzed before they become silent. In the light of Logistic Regression Model, the loss rate of users in next month is predicted based on the car-renting behavior in the former three months, and some suggestions are proposed to prevent the loss. The result shows that there is a significant difference in the behavior between the lost users and non-lost users. The accuracy of the prediction is 97.9%. The method proposed in the paper provides a theoretical basis for enterprises to deal with the early warning and recall of the lost users.
Properties of Fe-Cu-C composite reinforced by different WC content
Authors: Xuan Ye , Huajin Tu , Ling Qin , Yuxiang Ling 
Published: December 2019

Abstract
Fe-1.5Cu-0.7C matrix composite with WC content of 0%, 1%, 2%, 3%, 4%, 5%, 6%, 7% are prepared from conventionally mixed powder in mesh belt sintering furnace, microscopic pore morphology of materials is observed, material properties are tested including density, hardness and bending strength. Results show that, Fe-1.5Cu-0.7C PM materials consisting 1%WC has relatively higher performance, and its density, hardness and bending strength are 6.63g/cm3, 72.6HRB and 317.3MPa respectively.
Research progress of cold extrusion technology for light alloy internal thread
Authors: Meng Liu , Ji Zesheng , Li Xuemei 
Published: December 2019

Abstract
Light alloy materials are widely used in aerospace, automobile, shipbuilding and chemical industry, and the service life of aircraft, automobile and high-speed train is directly related to the thread connection performance of light alloy. The surface quality, dimensional accuracy, material utilization and mechanical properties of cold extruded internal threads are superior to those of traditional processing methods. The influence of processing conditions on the surface microstructure and mechanical properties of internal thread is described. In this paper, the development direction of the finite element simulation technique for metal plastic processing and the design of new extrusion tap structure and the optimization of extrusion process parameters are proposed
Surface Decarburization Behaviour of A Novel Die Steel
Authors: Ge Xueyuan , Ma Qingxian , Wang Miaohui , Liu Hengsan , Guo Ruifeng , Chen Yunbo 
Published: December 2019

Abstract
The surface decarburization behaviour of a new kind of hot-working die steel under oxidative environment was systematically investigated. The thickness of the decarburization layer under different temperatures and different holding time were measured using metallographic analysis. The results show that the thickness of decarburization layer has linear relationship with the square root of holding time under a certain temperature. The decarburization sensitive temperature of this die steel is 1100°C.
Surface plasmone resonance sensor for biomimetic detection of progesterone with macroporous molecularly imprinted polymers prepared by visible light
Authors: Yu J Y , Jiao S Q , Nawaz T , Wang S Q , Wei T X 
Published: December 2019

Abstract
Reversible addition-fragmentation chain transfer (RAFT) polymerization mechanism was used for the preparation of molecularly imprinted polymers (MIPs) film using 4-cyano-4-[(dodecylsulfanylthiocarbonyl)sulfanyl]pentanoic acid (CDTPA) as chain transfer reagent and visible light initiator. In addition, the effect of CDTPA concentration on the polymerization rate was monitored, establishing that too high CDTPA concentration would inhibit the polymerization rate. The MIPs film was characterized by contact angle measurement, frontier transfer infrared spectroscopy (FTIR) and scanning electron microscope (SEM) which showed the successful grafting of MIPs films onto surface plasmon resonance (SPR) sensor chip. The response of progesterone sensing ranged from 10−16 to 10−6mol/L with low detection limit of 1× 10−16mol/L in PBS buffer (pH 7.4) and the MIPs film exhibited good selectivity, reproducibility and stability. Moreover, the sensors had been successfully applied to detect progesterone in tap water, lake water and human urine turning out with wide detection range and low detection limit.
Prediction of the limiting redrawing ratio
Authors: Zhou Xiaohong , Lu Lu , Wang Fengjun , Ding Bangjun , Gong Wenzi 
Published: December 2019

Abstract
Redrawing process is used for reducing the lateral dimensions and increasing the depth of the cylinder cup, which was formed by deep drawing. To determine the optimum values of the process parameters, it is necessary to know the redrawability. In this paper, a new mathematical mode is established to predict the limiting redrawing ratio (LDR), which is based on Hill’s anisotropic criteria, tensile instability in the cup wall and sheet bending/unbending theory around the die arc radius. The maximum and minimum thickness ratio (tmax/tmin) of cup wall and friction effect were considered in the model. The calculation from the model is in good agreement with the results of finite element simulation, and also was confirmed by the experiments of commercially pure titanium (TA1) cup redrawing processing. The effects of various material properties, friction coefficient μ, radius of the die arc rd, half die cone anger α, half die opening ro, cup maximum thickness tmax, cup thickness ration tmax/tmin have been discussed to understand and control redrawing process for improving redrawablity.
Dendritic Silver Microstructures as Highly Sensitive SERS Platform for the Detection of Trace Urea
Authors: Wen Jin , Song Fazhi , Du Yunchen , Yu Wang , Qiang Rong 
Published: December 2019

Abstract
In this communication, Surface-Enhanced Raman Scattering (SERS) coupled with Ag dendrites has been firstly used for the detection of limited urea. Dendritic silver microparticles are immobilized on indium doped tin oxide (ITO) surface via replacement reaction, and the formation mechanism could be attributed to electroless deposition (ELD) and diffusion-limited aggregation (DLA), respectively. The plot of the average Raman intensity measured at 1004cm−1 as a function of urea concentration with R2 value of 0.999 indicates silver dendrites exhibit a satisfactory and consistent performance with an analytical urea enhancement. The limit of detection for urea could reach the physiological range of urea.
Fluent simulation and experimental analysis of polishing edge abrasion of single crystal germanium
Authors: Leng Zhiyi , Yang Xiaojing 
Published: December 2019

Abstract
Single crystal germanium has good physical property and is widely used, but it is hard to process the surface of single crystal germanium by traditional processing technology. Although using two-phrase flow polishing technology can make effective processing on the surface of single crystal germanium, but it could also cause edge abrasion as well. The paper was based on two-phrase flow polishing theory, which built a flow-path simulation model based on the location relationship of each part of polishing machine, used Fluent to simulate the polishing process and designed experiment to analyse the polishing process. By simulation and experimental analysis we can find that, during the polishing process, the liquid-solid two-phrase flow would cause edge abrasion of test-piece, but the abrasion degree on each side of the test-piece is different. The difference of pressure which caused by liquid flow and the change of flow-path size are the main reasons of edge abrasion. Under existing processing conditions, using diamond abrasive could get higher surface accuracy, but the edge abrasion of the specimen is obvious. To reduce the edge abrasion, larger size of abrasive should be used.
Influence of Inclusions’ Position on Stress Distribution of Inclusion-matrix Interface
Authors: Zhao Kai , Wang Tian-Yu 
Published: December 2019

Abstract
In this paper, the influence of inclusions’ position on stress & strain distribution was researched when inclusions were same size and shape. The finite element method was used to study the position effect of inclusions in the FGH95 P/M superalloys. The shape of inclusions was simplified rotundity in the model. The influence of inclusions which was on the surface, in the sub-surface and in the basic material on stress & strain distribution was studied. There were two cases, the inclusion connected basic material tightly and there was a hole between the inclusion and the basic material. The change rule of interfacial stress & strain distribution caused by the variation of inclusions’ position was given.