bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Wireless Pulse Monitoring System Based on AVR
Authors: Li Chao 
Published: December 2019

Abstract
Pulse is the most important, sensitive and reliable source of information for human activities. It is an important window to reflect the health of the human body. The extraction speed of the pulse is fast. Therefore, it is also an effective method to quickly find the cause by using the pulse signal. This topic adopts embedded and wireless communication technology, and proposes a new scheme for processing pulse signals, namely acquisition and processing and wireless transmission part (front end system) + wireless reception and PC display part (back-end system). The front-end system is mainly responsible for the acquisition and initial processing of the pulse signal and can be sent separately. It can be connected to the PC through the wireless receiving and serial port interface. The back-end system is mainly responsible for tracking and displaying the signal transmitted by the front-end system. It is the role of the wireless receiver module that enables the system to have remote monitoring capabilities.
Toughness Detection and Gradation for Kitchen knife Edge
Authors: Su Zhonghua , Yang Zhangcheng , Huang Taizhong , Mi Haipeng , Chen Na 
Published: December 2019

Abstract
Breakage, curling edge and bluntness are the common failure forms of kitchen knife edge. A comprehensive characterization index, knife edge toughness, has been proposed, which including sharpness, durability and roll/breakage edge resistance indexes. The definition, testing method and testing equipment for each index have been described. Gradation for each index has been taken by market sampling and testing. The grade marking method for kitchen knife edge toughness has been demonstrated by image case.
Research on Machining Error of Globoidal Cam Profile Based on Adaptive Algorithm
Authors: Wu Panlong , Hu Dongfang 
Published: December 2019

Abstract
In order to effectively control the machining error of globoidal cam profile, an adaptive tool position error compensation algorithm is proposed. According to the space meshing principle and the rotation transformation tensor method, the actual working profile equation of the non-equalization diameter machining globoidal cam is established. The objective is to minimize the maximum deviation of the actual tool axis, and search the optimal tool offset and direction during machining to achieve adaptive compensation of the tool position. When the tool radius compensation amount Δr=3mm, the theoretical value of the maximum normal error of the cam profile is close to the simulation value. The result validates the effectiveness of the tool position control technique of the adaptive algorithm for machining error compensation, thereby the machining accuracy of the globoidal cam is improved greatly.
Establishment and research of state model of intelligent vehiclebend system based on kalman filter
Authors: Fan Gong , Chen Chaoda 
Published: December 2019

Abstract
In view of the problems of route selection and driving stability of intelligent vehicle in the process of turning, a state model of intelligent vehicle turning system control based on Kalman filter is proposed. Taking intelligent vehicle as the research object, according to the route of intelligent vehicle passing through a certain bend at uniform speed, the corresponding state transition model of intelligent vehicle’s speed and position is established, and the state model of intelligent vehicle’s bend system is analyzed, and the system state equation of intelligent vehicle in the process of bend movement based on Kalman filter is obtained. According to the state equation of the system, it can effectively monitor the speed, position and trajectory of the intelligent vehicle on the bend. Combining with Kalman filter algorithm, it can effectively reduce the noise of the control process and observation noise. It can be used to achieve more stable and accurate control of the intelligent vehicle in the bend movement.
Research on Well Trajectory Deduction Method Based on Pythagorean-Hodograph Quintic Space Curves
Authors: Li Yufei , Cao Yinping , Liu Yuxue , Li Mingfei , Yihua Dou , Zhang Jiantao , Zhang Lin 
Published: December 2019

Abstract
Considering the influence of key parameters such as bore angle, azimuth and sounding of wellbore, based on the spatial five-time PH curve with continuous unit tangent and directional curvature, no need for iteration, using Bessel polynomial interpolation method, optimization the spatial model and the curve description can accurately deduct the spatial parameters of the fifth point according to the determined four points of the space, and then establish the wellbore trajectory analytical equation to generate the well trajectory curve. Taking a directional well as an example, the wellbore trajectories of the wells from 403.9 meters to 976 meters were fitted by PH, cubic spline and linear interpolation method respectively, and compared with the real measuring points. The results show that the wells fitted by PH method, the differences of the bevel angle and the measured point, the azimuth angle and the measured point are 0.910° and 5.7°. The differences of the cubic spline and the measured point, the straight line method and the measured point are 4.240°, 5.86° and 6.54°, 9.09°. For the PH method, the trajectory inclination and azimuth differences are the smallest, which are 3.51% and 3.17%.
Research on roundness error extraction method for precision machine tool spindle based on least square method
Authors: Zhang Shihai 
Published: December 2019

Abstract
Based on the application requirement of online measurement and evaluation for roundness error of precision machine tool spindle, a specific method is proposed to fit the spindle roundness error based on the least square method according to the characteristics of the roundness error. Firstly, aiming to the radial vibration displacement signal of spindle, which collected by the sensor, a multi-harmonic signal with speed frequency of spindle as the fundamental frequency is constructed, and then the least square method is used to fit the amplitudes and phases of each harmonic signals. Finally, according to the fitting results, the rotation error and the interference of higher-order noise signals are eliminated, and the contour signal with only roundness error of the spindle is reconstructed, and then the roundness error of the spindle is evaluated by appropriate evaluation method. The simulation system of rotation and roundness errors separation for spindle system is developed, and the feasibility and accuracy of least square method to fit the spindle roundness error are verified by simulation analysis.
Research and design of a new type of spray washing machine
Authors: Liu Dun , Hu Ruoyu , Zheng Weigang 
Published: December 2019

Abstract
Considering the universality of washing machines today, washing machines consume a lot of water. In order to reduce the water consumption in the washing process and at the same time achieve the effect of cleaning clothes, a new spray type washing machine is designed. It mainly consists of transportation system, cleaning system and control system. The washing system is designed to perform different tasks for washing machines, washing, rinsing and dewatering, respectively. The new washing machine washes clothes with water spray, washing liquid spray washing, high pressure water mist rinsing residue, sponge roller squeezing dehydration and warm air drying, so that the stains of the clothes are washed and the initial dehumidification is completed. The spray-type new washing machine is completely cleaned by spraying droplets and spraying water mist, which can greatly reduce the water consumption.
Research on Bearing Eddy Current Testing Based on ANSYS
Authors: Hu Jianhong , Wang Yufeng , Liang Mingxuan 
Published: December 2019

Abstract
In order to quantitatively analyze the eddy current flaw detection of bearing parts, the eddy current testing model is established by ANSYS finite element simulation software. The simulation analysis object selects a self-inductance eddy current probe. There is only one coil in the probe, which is both an excitation coil and a detection coil, and the detection signal is reflected by the change of the impedance of the coil. Through the simulation experiment, the influence of the structure size of the probe coil and the lift-off distance excitation signal of the probe on the detection effect when using the eddy current detection method for non-destructive testing of the bearing parts is explored. Study and analyze the influence of the change of the defect size on the detected object on the detection signal in the eddy current simulation.
Optimization of control strategy based on equivalent analysis during deployment of Hoop Truss Deployable Antenna(HTDA)
Authors: Cheng Tao , Wang Yihong , Liu Jiangong , Zhang Ke 
Published: December 2019

AbstractSatellite’s Hoop Truss Deployable Antenna (HTDA) dynamics and controlling, has attracted more and more attention. However, many previous studies were mainly confined to rigid body modelling, which couldn’t reflect the flexible characteristic of the HTDA. By using ANCF, the multi-flexible dynamics system model was established in this paper. After compare with varies strategies, controlling system based on cosine and second-order polynomial was designed in this paper. Complete simulation of the deployment of the HTDA was finished. Modelling method and control strategy are effective and optimized according to the result. The deployment can be controlled precisely by the controlling system and finished smoothly. By this simulation, the rationality of the route planning and validity of control strategy is verified.
Design and test of CF-1A self-propelled residual film recover machine
Authors: Zhang Yaxin , Xiang Jishan , Zhang Hongze , Li Hang 
Published: December 2019

Abstract
At present, although China has developed a biodegradable film, its impact is not ideal that the cost of degradation of the film is higher, and more difficult to promote widely. In order to solve the current problem of picking up the remains of the domestic films, the CF-1A self-propelled residual film recoverable machine is designed. The core components of equipment are the Swing-type residual film picking part and the membrane tooth separation mechanism. The test results have showed that residual film recoverable machine pick-up rate reaches at 82.5% to satisfy the farmers pick-up of the agricultural requirements on the residual film and provides a new idea for the design of the residual film picker.
Rocket Tank Surface Glue Layer Thickness Measurement Robot Trajectory Tracking Control Based on Adaptive Iterative Learning
Authors: Xu Haibo , Li Liu , Ni Yongjun , Liu Siqi , Liu Xiaodong 
Published: December 2019

Abstract
Thickness measurement of surface glue layer of rocket tank is a critical part to ensure the quality of rocket tank. When measuring, the industrial robot equipped with a non-contact thickness measurement end actuator performs measurement tasks along the planned trajectory. Because traditional position tracking algorithm inevitably has hysteresis, the actual trajectory of the control point has a large error with the ideal trajectory, which directly affects the thickness measurement accuracy. Iterative learning controller is used in this paper for trajectory tracking control of rocket tank surface glue thickness measurement robot. Considering the non-repetitive disturbance and time-varying factors in the measurement process, an adaptive iterative learning controller is proposed to improve the trajectory tracking control process of the thickness measurement robot. The effectiveness of the control method is verified by Matlab/Simulink simulation.
New method for the calibration of cutter runout parameters in milling process
Authors: Pan Weiguang , Pan Wenjie , Wu You , Guo Liang 
Published: December 2019

Abstract
Cutter runout will induce irregular rotation radius of each flute and commonly exists in milling process. Duo to the runout inducing great variation of milling forces, it is necessary to accurately identify the runout parameters. In this paper, a new model is proposed to calibrate the cutter runout parameters in flat end milling process. The relationship between the rotation radius of each flute cutting edge and the deviation of maximum uncut chip thickness utilizing the sampled data of cutting forces is made. Several flat milling experiments on a three-axis are made to verify the validity of proposed model and the result shows the predicted cutting forces using calibrated cutter runout parameters having a great agreement with the measured cutting forces in shape under different cutting conditions.
Effect of Cryogenic Treatment on Extruded Copper Structures
Authors: Shengquan Zhang , Bing Wang , Shizhuo Wang , Changzhong Zhao , Xijing Wang , Zhongke Zhang 
Published: December 2019

Abstract
To improve the quality of electroplated copper anodes and reduce the amount of anode mud, it is necessary to further refine copper grains. In the electronics industry, this is typically accomplished by either extrusion or cryogenic treatment. In this study, samples were subjected to different cryogenic treatment periods, and SEM, EDS, XRD, and hardness tests were performed. It was confirmed that a sub-grain boundary was formed due to the disappearance of vacancies and an increase in dislocations after the cryogenic treatment of extruded copper, which improved the grain refinement and hardness. At longer treatment times, the combination and entanglement of dislocations reduced the strengthening effect, and the copper diffraction peaks changed. However, the distribution of trace phosphorus did not change with the grain refinement distribution. Therefore, the results confirm that cryogenic treatment can be used to refine the grains of extruded copper.
Combining the Characteristics of the Field to Determine the Retrieval Ideas and Improve The Retrieval Efficiency of Machine Tool Fixtures
Authors: Xia Baolin 
Published: December 2019

Abstract
Within the field of machine tool fixture, there are many design principles recognized by the industry, and there are many institutions based on industry consensus as the corresponding workpiece clamping. In the process of developing, the search work, the examiner needs to have his own understanding. It is not only based on the specifications of the inherent application fixture. It should be based on the relevant technical perspectives in the field, and understand the design ideas and related principles of the fixture. The specific functions of the components of the fixture are formed as a fixture design principle within the field and retrieved. Through the actual case, combined with the characteristics of the field, the analysis of the fixture design ideas is carried out, and the retrieval ideas of the machine tool fixtures are determined, which can effectively improve the retrieval efficiency.
Fault Diagnosis of the FANUC CNC Lathe Analog Spindle Speed Mismatch
Authors: Yang Dakui , Cao Chuanchuan , Ai Cunjin 
Published: December 2019

Abstract
This paper takes the failure of the spindle command speed and the actual output speed mismatch caused by the CK6136 horizontal CNC lathe (FANUC-0i-TD system) produced by Dalian Dalian Machine Tool Plant as an example. The hardware connection and spindle override of the analog spindle control circuit are described. PMC program design, spindle parameter setting, inverter parameter setting and theoretical calculation of main parameters, etc., and successfully debugged on the CNC lathe in the laboratory.
Study on function evaluation and development directions of Chinese ports
Authors: Yang Qiuping , Wu Jialu , Su Bohan 
Published: December 2019

Abstract
The definitions of a port and of port functions under new circumstances were presented based on the traditional definition of a port, combining economic and social development demands. In order to fully recognize the current situation of Chinese port functions, an investigation into port functions was conducted in Guangdong, Hebei and Shandong etc. Taking the investigated ports as reference samples, generational characteristics, port importance, port throughput, proportion of foreign trade cargo throughput, proportion of container throughput and proportion of container throughput on international routes are chosen as the major investigation objects. Furthermore, qualitative or quantitative partition methods are employed respectively to assess the present situation of ports and development stage of Chinese coastal ports and major river ports. Finally, a basic framework of Chinese port service function system and future development directions are established, combining characteristics of Chinese ports and by drawing lessons from port functions developments in foreign advanced countries.
Analysis On Manufacturing Logistics Network Equilibrium Under the VMI Inventory Management Mode
Authors: Ye Zhou , Zheng Jia-Wen , Wang Yong-Qin 
Published: December 2019

Abstract
The network equilibrium theory is used to study the optimization design of manufacturing enterprises in implementation of VMI inventory management model. In particular, we firstly construct a four tier logistics network, composed of raw material suppliers, spare parts suppliers, manufacturers, logistics service providers. And the network system is modeled, and the profit functions of all levels of decision maker are formalized, and then transformed into the equivalent variational inequality form for computation. Finally, a numerical example is given and some valuable research inspiration are obtained.
Exploring the impacts of online car-hailing service on individuals’ travel behavior
Authors: Yu Wenqiang , Yan Xuedong , Wang Yun 
Published: December 2019

Abstract
Online car-hailing is growing rapidly in popularity worldwide and provides a new travel mode to the urban residents. However, every coin has two sides, it does increase urban mobility while cause some new problems, such as safety concern and privacy issues. Therefore, it is urgent to facilitate the benefits of online car-hailing and avoid the negative impacts at the same time. With this consideration, this paper aims to provide a better understanding of the travel behavior induced by online car-hailing and the modes transfer to it. We apply Hierarchical Tree-based Regression (HTBR) to explore the influencing factors of the inducement and transferring mode, using the data collected by a web-based survey published on DiDi app. The results show that the passengers’ demand for car-sharing is the most significant factor to attract more traversers to use online car-hailing and car ownership mainly influence transferring mode. Finally, we provide some practical suggestions for the city operators.
Prediction of Ship Arrival Quantity Based on Optimized GM (1, 1) Power Model
Authors: Zheng Mingxia , Fan Mengying , Liu Hu 
Published: December 2019

Abstract
Since the ship arrivals is vulnerable to climate, market season, economic development and other factors and is characterized for volatility, the prediction for ship arrivals by means of the conventional GM (1, 1) power model has such problems as low precision, non-relevance between the modeling method and the model testing. In this paper, the optimal matching model parameters for the ship arrival data are found and the GM (1, 1) power model with optimized model parameters is established using the nonlinear programming method, based on the conventional GM (1, 1) power model. Comparisons in term of accuracy in the application of the predictions are made between the ship arrivals data in Cen gang port area of Ningbo - Zhoushan port in May for the last 10 years and the predictions. The predicted ship arrivals for May, 2018 is 860, with an average relative error of 1.67%, and the average relative error of the optimized power model is greatly reduced, which shows that the average relative error of the optimized GM (1, 1) power model has been significantly reduced, with a relative residual not exceeding 7%. The results show that the optimized GM (1, 1) power model is able to further improve the prediction accuracy and meet the actual requirements, providing theoretical support for planning of the port anchorage.
Metro Passenger Flow Statistics Based on YOLOv3
Authors: Liu Weiming , Du Xiaorui , Geng Qinghua , Li Jingning , Li Haiyu , Liu Lan 
Published: December 2019

Abstract
Passenger flow real-time detection in per train compartment is the basis for realizing metro entrance flow restriction, platform waiting guidance and optimizing train departure interval. In this paper, we collect RGB images as the input of the improved YOLOv3 network, then we can get the statistics of passenger flow by detecting and tracking passengers’ heads. For the head detection part, this paper re-selects the number of anchors by using the k-means++ clustering method and removes the large-scale object detection module in the original YOLOv3 network. For the head tracking part, this paper proposes the probability gradient map, IOU-Max maximum matching algorithm and voting strategy, which make the stability of target tracking greatly enhanced. Compared with the original YOLOv3 network, our research results show that the accuracy of head detecting based on the improved YOLOv3 network increases from 90.1% to 97.84%, the recall rate increases from 85.4% to 94.7%, and the accuracy of the head tracking algorithm is as high as 98.87%, and the accuracy of passenger flow density detecting is as high as 95%. The measured detection speed reaches 47FPS on the TITAN X server, enabling real-time fast detection and tracking of targets.
Research and Application of Microcirculation Theory in small cities
Authors: Xi Kuanxiang , Zha Weixiong , Ji Wenqian 
Published: December 2019

Abstract
This paper introduces the traffic microcirculation theory, proposes the innovative traffic microcirculation system theory to control the urban traffic congestion concrete method, applies this method to the small urban traffic congestion area; Taking the Anyi bridge area in Anyi county as an example, this paper analyzes the current situation of traffic congestion in the area, proposes the recent traffic organization optimization plan by using the traffic microcirculation theory, manages the traffic congestion problem in the area of Anyi bridge in Anyi county, and makes a systematic evaluation of the traffic organization optimization plan. Anyi long-term urban development plan, using traffic microcirculation theory method, puts forward of the long-term traffic organization Anyi bridge area, analyzes the forward Anyi bridge area traffic organization, as the forward Anyi bridge area traffic microcirculation system theory method, the city of Anyi road network will be improved greatly.
Quality Assessment Model of Air Traffic Management Service Process Based on TFN-ANP
Authors: Weijun Pan , Haochen Liu , Rundong Wang , Jiahao Tang 
Published: December 2019

Abstract
The ATM operation quality assessment model is the core component of the ATM process quality management. The existing model cannot accurately and completely describe the key indicators of performance in actual work due to the outdated concepts and strong subjectivity. After analyzing the characteristics of ATM process quality, we use TFN-ANP method to establish new assessment model. Each element in this model obtains its own weight and relevance to others. This method further reduces the subjectivity compared with the traditional assessment model. Finally, through the analysis of actual examples, the scientific and practicality of the new assessment model is indicated.