bluuebunny/crossref_metadata_2025 huggingface dataset:
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

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

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

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

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

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

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

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

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

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

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

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

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.
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

In 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Management Ability, Property Rights and Corporate M&A Performance — Empirical Evidence Based on Engineering Companies
Authors: Xue Xiapiao , Li Wenxing
Published: December 2019

The project is the cell of an enterprise, and the engineering project management is the foundation of the construction enterprise management. Strengthening the management research of the construction enterprise can improve the ability of the enterprise project to succeed in the market. M&A is an inevitable requirement of socialized large-scale production, an important way for enterprise expansion and industrial structure upgrading. This paper examines the impact of engineering company management ability on long-term M&A performance of companies, which takes 2014-2016 China A-share construction industry and real estate industry listed companies as samples. The paper analyses the lagging effect of management ability and corporate M&A performance, and uses group regression to test the regulation effect of property rights on management ability and M&A performance. This study finds that management ability has a significant positive impact on long-term M&A performance, that is, the stronger ability the management has, the higher performance the a corporate mergers and acquisitions will show. Further research also indicates that under different property rights, there is no significant difference in the impact of management ability on long-term M&A performance. However, compared with non-state-owned enterprises, state-owned enterprises are more cautious about M&A, so their business performance is more stable.
Game Analysis on Government Subsidy for Agricultural Enterprise’ IoT Investment
Authors: Fu Na , Zhang Xirui , Jia Zhidan
Published: December 2019

There are many problems in the production and circulation of agricultural products. Internet of Things (IoT) can improve these issues. But it is difficult for a single agribusiness to bear the huge IoT investment alone, and the government needs to give certain subsidy. However, the amounts and conditions of subsidy are a series of difficult choices faced by the government. This paper will use the incomplete information game to analyse the above problems and make relevant suggestions.
Risk Analysis of Construction Project Life Cycle Information Management Based on System Dynamics
Authors: Fan Heshan , Gao Huiying
Published: December 2019

Information is the chain in which the project management system operates. When assessing project risks, traditional methods often have difficulty balancing the integrity of the project. This paper analyses the risk elements of information management in the whole life cycle of construction projects, attempts to use the system dynamics method to establish the causal diagram of each stage, and describes the impact of information risk elements on project schedule, quality, cost and safety. The results show that the negative feedback loops of the whole system is mostly. Besides, the influence between the targets can be transformed, and the system itself can achieve a relatively stable state through self-regulation.
The impact of R&D investment on the value of construction companies based on engineering management
Authors: Xin Ruijie , Sun Hejie
Published: December 2019

This paper takes the construction enterprises listed on China’s Shanghai and Shenzhen stocks in 2016-2018 as a research sample, introduces management power as a regulatory variable, and studies the regulatory effect of management power on the relationship between R&D investment and corporate value. The study found that R&D investment has a significant impact on company performance, and management power has a regulatory effect on this outcome. This study provides a new perspective for Chinese construction companies to examine the impact of R&D intensity on corporate value. It also provides advice on the value enhancement of companies with multiple engineering management projects.
Analysis of Engineering Structure Design and Management Mode of Lihuayi Group Media Center
Authors: Yu Guanyi , Guo Yueyang
Published: December 2019

Engineering project management is a new thing in the field of engineering construction. It is a management model strongly advocated by the state. It conforms to the objective requirements of the socialist market economy and is conducive to optimizing the allocation of resources and achieving the minimum investment and maximum output of the project. But any management model can only play its role if it is used effectively in practice. This article takes the Lihuayi Group Media Center as an example, and introduces the main contents of the theater structure designing, including structural selection, floor designing, roofing beam designing, cantilevered building designing, stage craft designing and other design points. Combined with the above design points, the design analysis method and conclusion are proposed for typical components of the theater structure, research on the organizational structure design problem under the management mode which can provide practical reference for similar engineering design.
Practice and Thoughts on Cultivation of Graduate Students Majoring in Engineering Management
Authors: Yin Qin , Zhao Jie , Zhao Huachen , Zhang Yunqiang
Published: December 2019

The professional master degree of engineering management in military schools in the new era aims to cultivate high-level and application-oriented graduate talents who understand technology and have the superior comprehensive capacity of management, command, coordination and decision-making ability. The combination of scientific research innovation and military engineering management practice is highlighted. In the meanwhile, it emphasizes the integration of engineering technology and military drill implementation, and it pays much attention to the compound concept. Research and practice are carried out from the aspects of training objectives, training programs, curriculum system, teaching implementation, process control. In order to improve the training quality of engineering management graduate students, the characteristics of experience and considered the existing problems are summarized.
Implementation details of quality evaluation system for manufacturing enterprises of large piston compressors
Authors: Gao Guangfan , He Lixin , Wu Heping , Sun Liangliang
Published: December 2019

In a former paper by the authors (Guangfan Gao et al., 2017), an evaluation system for Chinese manufacturing enterprises of large piston compressors was established for the proper evaluation of production quality. In addition to the first three levels, the fourth level indices are needed, and therefore introduced in this paper. There are 35 and 47 items for the two branches of “Man” and “Soft power” respectively. In addition to the four levels, potential faults and accidents are also an integral part of compressor quality. Piston rod, for example, has its complexity of fault factors illustrated. We put forward two ways for malfunction factors to participate in evaluation. One is weight allocation of each element in all levels based on the multi-factor malfunction correlation matrix. The other is a general first-level correction of malfunctions based on product accident statistics.
Research on pricing strategy of electricity transmission-distribution based on system dynamics
Authors: Liu Jianghua , Chen Yalin , Liu Jiaojiao , Dong Ziqi , Zhu Yao
Published: December 2019

The electricity transmission-distribution is an important link of power system. Pricing transmission-distribution is the key part in the new round electricity market reform in China. The paper investigates the components of cost during transmission and distribution considering the different levels of voltage under government regulation, which forms original pricing model according to the reasonable profit pricing mode. Based on the above model, we apply System Dynamics to simulate the trend of the transmission-distribution price and capacity under the different scenarios classified by return on investment. The result of the simulation shows that the increasing ROI can raise the grid capacity investment, but it can’t motivate power grid companies to reduce costs and improve management efficiency.
Analysis of Influencing Factors of Construction Engineering Management and Discussion of Strategies
Authors: Zhang Nan
Published: December 2019

At present, China’s construction industry is constantly developing and progressing, various new materials and technologies are emerging, and the competition in the construction market is becoming increasingly fierce. Under these circumstances, in order to protect their own competitiveness and market position, construction enterprises must fully meet the various requirements of the construction, not only beautiful, but also safe and durable. To this end, construction companies should do a good job in engineering management, clarify the various influencing factors in engineering management, and comprehensively optimize and improve engineering management to ensure the quality, efficiency and safety of engineering construction. This article has carried out related elaboration and analysis.
Model and Algorithm for Co-scheduling of Stackers and Single RGV during retrieval Process in AS/RS
Authors: Hu Pengpeng , Chen Hua , Wang Xinping , Shi Menghua
Published: December 2019

This paper studies the co-scheduling problem of the stackers and single rail guided vehicle system in automated storage and retrieval systems. We formulate the problem into a mixed integer linear programming model with the aim of minimizing the total retrieval time. In order to solve the problem, an improved genetic algorithm is proposed, and the properties of the optimal solution are applied to improve the offspring chromosomes. A lower bound of the total retrieval time is developed. The numerical experiment indicates that the proposed algorithm can solve the problem effectively. Compared with the solutions obtained by using first come first served, the total retrieval time obtained by the proposed algorithm is reduced by an average of 8.36%. The average deviation from the lower bound is 2.00%.
The cause of highly frequent commercial bribery during the invitation and submission of bids for engineering projects and the counteraction——the analysis based on WSR methodology
Authors: Yan Tiecheng , Lv Yuanfang
Published: December 2019

Commercial bribery is found to occur very frequently during the invitation and submission of bids for engineering projects. However, existing research study on such topic lacks sufficient diversity in terms of the approach taken for analyzing the problem. In this study, we interpret the high occurrence of commercial bribery based on the “Wuli-Shili-Renli” (WSR) framework. Using this approach, the constraints from the social environment, the defects of the current system, and the lack of morality for the participants of the invitation and submission of bids can be well comprehended from the following three aspects: Wuli, Shili, and Renli. With these understandings, proper counteractive strategies can be proposed accordingly.

Chinese Library Classification Number: F280, Article identifier: A
Impact Mechanism of Shared Leadership Behavior on the Performance of Large-scale Engineering Construction Projects
Authors: Ding Yuelan , Wang Jing , Su Jian
Published: December 2019

As a new type of leadership style that can enhance team effectiveness, shared leadership has received a lot of attention from scholars. However, few studies have focused on its positive role in the engineering construction team. This paper explores the impact of shared leadership behavior on the performance of large-scale engineering projects and discusses the mediating role of employee participation. The research of the employees and their direct leaders in 41 project teams of the 12 construction companies shows that shared leadership behavior has a significant positive effect on project performance, employee participation plays a part mediating role in the relationship between shared leadership behavior and project performance. In a society where the knowledge economy and information technology are developing rapidly, combining shared leadership behavior with large-scale engineering construction projects will inevitably bring benefits to large-scale engineering construction projects.