bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parallel Machines Parts Ordering Problem with Time Window
Authors: Cheng Bihui 
Published: March 2020

Abstract
in the classical sorting problem, the processing time of the job is usually a constant independent of the start time. However, in some sorting problems with strong practical background, the processing time of the job may have some relation with the starting time. It is divided into two cases, one is the processing time of the job is the increase function of the start time, the other is the processing time of the job is the decrease function of the start time. On the only one machine sorting problem with in time windows, this paper designs a 3/2-approximation algorithm for the parallel machiness parts sorting problem with in time windows, and its algorithm complexity is.
Temperature and nonlinear compensation of Hall current sensor based on least square method
Authors: Qi Fei , Zhao Xiaopeng , Huang Qian , Huang Hesong 
Published: March 2020

Abstract
In view of the temperature characteristics and non-linear problems of Hall current sensor, this paper introduces a method of temperature and nonlinear compensation based on least square method. On the basis of the curve fitting by the least square method, it is verified by the test data. This method can better compensate the influence of temperature and nonlinearity on the measurement errors of the Hall current sensor.
Dynamical Analysis of Fractional-order Permanent Magnet Synchronous Motor Based on Current Time-delayed Feedback
Authors: Lu Senkui , Wang Xingcheng , Li Yanan 
Published: March 2020

Abstract
This paper investigates the nonlinear dynamics of a fractional-order PMSM depends on current time-delayed feedback. Firstly, model parameters of fractional- order PMSM are selected to display bifurcation and chaos in the case of no feedback. Secondly, the stability of equilibrium points and emergence of Hopf bifurcation in the system with feedback gain and time delay are derived. It is found that a smaller fractional-order can enhance the stability of fractional-order PMSM if all parameters are fixed in some cases. In addition, the research indicates that time delay can vary the stability interval, the properties of stability and Hopf bifurcation show chaos vanishes as the time delay reaches a certain value. Finally, numerical simulations are provided to illustrate the theoretical results and demonstrate the complex dynamic behaviors.
Design of Industrial Robot Based on IWOA-PID Control
Authors: Wang Pujie , Lian Jie , Wang Shuwei 
Published: March 2020

Abstract
Aiming at the nonlinear strong coupling system composed of the joints of 6-axis industrial robot, the traditional PID control is difficult to achieve the accuracy and convergence speed requirements of robot trajectory tracking, an intelligent control method based on IWOA-PID (Improved Whale Optimization Algorithm-PID) is proposed. IWOA is an improved intelligent heuristic algorithm based on the Whale Optimization Algorithm (WOA). Using IWOA to dynamically adjust PID control parameters, so as to improve the accuracy and convergence speed of robot trajectory tracking. Using MATLAB toolbox and Simulink to build simulation model. In the simulation experiment and field test, IWOA-PID control is compared with WOA-PID control and traditional PID control. The experimental results show that the trajectory tracking accuracy of each joint is high and the convergence speed is fast based on IWOA-PID control, and it has high engineering practical value.
The stress analysis of corrugated metal hose under bending conditions
Authors: Gan Shichuang , Wang Hehui 
Published: March 2020

Abstract
Corrugated metal hose, as an improved type of pipe, plays an important role in the development of modern industry. With the help of workbench, the numerical analysis of the bellows bending is studied. The bellows deform with the applied load, and the closer it is to the free end, the greater the deformation. By observing the deformation and stress distribution of the bellows, we can find the danger points of the bellows, which has important reference value for the design and maintenance of the bellows.
Sub-surface stress analysis of slewing bearing ball based on plastic deformation
Authors: Deng Biao , Chen Jianwei , Tang Shengjin , Guo Yang 
Published: March 2020

Abstract
Slewing support is widely used in large slewing machinery such as rocket launching platform, wind turbine and port crane. The accurate analysis of the internal stress in the raceway of ball roller is an important basis for studying the cause of bearing fatigue failure and improving the reliability of slewing support. In this paper, the finite element model of thrust angular contact rotary support was established in ANSYS. The stress distribution of the raceway of the ball under different working conditions was calculated by using bilinear isotropic plastic materials and linear elastic materials, and the equivalent stress resulted of the contact surface were compared with the Hertz contact model. This paper studied the factors that affect the distribution of the equivalent stress on the contact surface, calculates the ratio of the equivalent shear stress and the normal stress on the contact surface by finite element method, namely the equivalent friction coefficient, and studied the effect of the equivalent friction coefficient on the distribution of the stress inside the rolling ball. Simulation results show that plasticity occurs in the rolling ball.
Application simulation of the pulsed ultrasonic wave in soft scale removal of the heat exchange tube
Authors: Mei Guangyao , Wang Hehui 
Published: March 2020

Abstract
It is a new descaling technology to use the ultrasonic wave to descale on the heat exchanger. The removal of the soft scale is an essential content of it. ANSYS\DYNA is used to simulate the impact of ultrasonic on descaling in this paper. This paper aims at the simulation of a heat exchange tube by loading different ultrasonic cycles and frequencies. The results of the simulation show that the effect of descaling is the best when the number of cycles in a pulse is 5, and the impact of descaling gets better with the increase of ultrasonic frequency in a specific range.
Study on strength and sealing of a bolted flange joint under complex working conditions
Authors: Li Yuan , Wang Hehui 
Published: March 2020

Abstract
Bolted flange joints are widely used in petrochemical equipment and pipelines, while the problem of its leakage is a serious threat to the environment and safety. In order to study the strength and sealing of the bolted flange connection, a three-dimensional finite element model of the bolted flange joint with a flexible graphite spiral wound gasket is developed by using APDL in ANSYS. Considering the nonlinear compression rebound constitutive relation of gasket material, the indirect coupling method of temperature and structure is used to simulate the whole process of the bolted flange joint from installation to maintenance. The stresses of the flange, bolt and gasket under different operated conditions are investigated in detail. The results show that the stress distribution of the bolted flange joint is not uniform along the circumference due to the tightening sequence of bolts. The stress of each part of the bolted flange joint changes slightly under pressure condition, but the stress distribution is greatly affected by high temperature and creep at high temperature for 1000 hours. And the possibility of leakage of the bolted flange connection is increased with the application of transient cooling and heating up and additional bending moment and torque. After the application of various loads in turn, the bolted flange joint is likely to leak on the tension side.
Trajectory planning for robot-assisted laminectomy decompression based on CT images
Authors: Li Qian , Du Zhijiang , Yu Hongjian 
Published: March 2020

Abstract
Laminectomy decompression is one of the most complex spinal operations, with a high surgical risk and surgeon fatigue. The introduction of robots into surgery is expected to effectively solve these problems, but the complex and time-consuming grinding planning hinders the research and application of robot-assisted laminectomy. This paper proposes a robot grinding path automatic generation method for this operation to simplify the planning process. First, a neural network is designed to obtain the central positions of laminae in a CT image. Around the laminar center, a series of sparse robotic motion control points are obtained and adjusted based on bone surface. Simulation experiments based on some spine CT datasets indicate that the proposed method can effectively generate a reasonable planned path from spine CT images.
Feature engineering based intelligent wireless propagation model for RSRP prediction
Authors: Tao Li , Lu Jianfeng , Wang Xue , Qian Lin 
Published: March 2020

Abstract
Wireless propagation model is of great significance for accurate 5G network deployment. Based on the data set provided by Huawei ModelArts platform, this paper uses the typical method of feature engineering to establish the intelligent wireless propagation model based on back propagation (BP) neural network. The first is feature design, which has designed 12 features from the traditional Cost 231-Hata empirical model and geometric location. Considering the coupling relationship between the features, the angle and distance related features are dimensioned. The second is data processing, using logarithmic transformation, One-Hot coding, missing value processing, etc. Then there is the feature selection, and the final feature set of the model is extracted by the standard deviation, the quantized value of the Pearson coefficient and the feature-reference signal receiving power (RSRP) scatter plot. Finally, the prediction model is built and verified. In order to compare the superiority of the designed features, this paper established and tested three BP neural network models with the same network structure but different inputs to predict the RSRP of different geographical locations. The experimental results verified the superiority of the designed feature set. And a suitable wireless propagation machine learning model was obtained.
Safety analysis on typical scenarios of GTCS based on STAMP and STPA
Authors: Qi Yuwen , Cao Yuan , Sun Yongkui 
Published: March 2020

Abstract
As the rapid development of the urbanization, solutions to solving the traffic congestion have become a hotspot. In this case, the Guided Transportation System (GTS) has been developed, which has the potential to release the traffic jam due to the advantages of short construction period and low cost. Safety analysis on the new transportation tool is essential to keep its operation and passengers safe. Based on the STAMP (Systems-theoretic Accident Modeling and Processes) model and the STPA method (System-theory Process Analysis), this paper constructs a safety analysis framework for the typical operating scenarios of the Guided Transportation Control System (GTCS). Aimed at typical scenarios of vehicle tracking, the corresponding hierarchical control structure models are established. Then, the hazard causes are analyzed. And corresponding safety constraints are put forward to handle the hazard causes, which can provide supports for improving the system design of the GTCS.
Analysis of Screening Process of Enclosed Vibrating Screen and Elastic Cantilever Sieve Composite Structure
Authors: Luo Dezhao 
Published: March 2020

Abstract
Based on the enclosed vibrating screen and elastic cantilever screen as the research object, through the enclosed vibrating screen and elastic cantilever vibrating screen structure characteristics and screening process of research, for railway maintenance with a large black screen machine adopts enclosed vibrating screen and elastic cantilever screen composite structure was analysed, and the principle of screening of the cantilever screen in composite mechanism is discussed. This structure has solved the operation in the special environment, such as the slurry of the rail bed, and improved the maintenance efficiency of the railway. Meanwhile, it can be popularized and applied to other industries.
The transition of herba fluid flow patten in a circular tube
Authors: Hou Zhuoshi 
Published: March 2020

Abstract
The stability parameter Y is used to study the flow state of Herba fluid in a circular tube, and the criterion to determine its flow state is obtained. The transition of herba fluid flow in a circular tube is studied by using the stability parameter Y. The criterion of flow state transition is obtained by calculation.According to the theoretical analysis and experimental data, the calculation results show that the stability parameter Y has better adaptability and accuracy.
Development of leakage test system of cartridge valve based on NI vision
Authors: Yang Jiachen , Jin Xiajie 
Published: March 2020

Abstract
In order to realize the leakage test of cartridge valve, an automatic test system based on machine vision is designed, and the working principle of the system is described. Through the analysis and processing of the leakage image obtained by industrial camera, the leakage flow of the valve are obtained to determine whether they meet the national standards. Finally, the feasibility of the test system is verified by theoretical analysis and experiment.
Nonlinear Rolling Motion of Damaged Warship Based on Cell Mapping Method
Authors: Liu Hui , Li Zhi-hui , Wu Xiang-jun , Pu Jin-yun 
Published: March 2020

Abstract
Based on analyzing energy coupling between flooded ship and the water of flooded compartment in nonlinear rolling motion, the paper construct the two freedom rolling motion differential equation using the LAGRANGE equation, and acquire a single-freedom ordinary derivation equation through decoupling the coupled equations. Improving the arithmetic of cell mapping to study rolling cycle, multi-cycle and chaos response domain of the type II and type III flooded ship under excitation of various waves. The results show that the nonlinear rolling motion may be single-frequency or multi-frequency, and may be periodic or chaos with different system parameter and exterior excitation.
Development of the database for intelligent ship management system
Authors: Li Guiqin , Li Yang , Lan Jian , Zhu Qiuyu , Lu Hao , Mitrouchev Peter 
Published: March 2020

Abstract
In order to provide a data management solution with higher performance, more flexible expansion and more convenient management, the overall scheme of intelligent ship database cluster is studied by the structure of MySQL database management system and MYCAT distributed database middleware. According to the specific requirements of a shipyard for data collection and use, this paper proposes the alarm point information base and alarm point coding mode from the perspective of practicability and convenient maintenance. Shipyard usage feedback indicates that the database is implemented for ship-wide data sharing.
Research on Graduate Education Quality Evaluation Based on Combination Empowerment and Comprehensive Fuzzy Model
Authors: Zhang Zeng , Wang Mei 
Published: March 2020

Abstract
Graduate education quality evaluation is an important part of higher education evaluation. This paper designs an evaluation system that can fully reflect the quality of graduate education, and then combination weighting method and comprehensive fuzzy model were used to verify it. Combining subjective analytic hierarchy process with objective entropy, 10 indexes are weighted and a reasonable weight coefficient vector is obtained. Taking Tianjin University as an example, the comprehensive ranking of postgraduate education quality in 20 colleges of Tianjin University is calculated by using the comprehensive fuzzy evaluation model. The study found that the matriculate quality, scientific research environment, graduate research level and employment ability are the main factors affecting the evaluation of graduate education quality whose contribution rate is as high as 85% and the quality of postgraduate education in science and engineering colleges is significantly higher than that in humanities colleges.
Intelligent Heating Business Model Based on PPP Mode
Authors: Bao Xin , Han Ying , Shen Jun 
Published: March 2020

Abstract
Jinping Xi mentioned in China nineteenth National Congress of the Communist Party that we should adhere to the principle of “continuous improvement in the management and application of Internet construction", establish an innovative “comprehensive network management system", promote the “new type of city moving towards the interconnection of all things" and enhance the ability of the government and enterprises to use Internet technology and information technology to carry out work and production and operation on the existing basis. The development of the Internet era has subtly changed the business models of all walks of life. All walks of life have also ushered in spring with the support of the Internet. As a livelihood industry that concerns tens of thousands of people, should heating innovate the traditional PPP model? This is a question worthy of our consideration. If we want to make users the center in the big environment, we should take up data as a powerful tool, use technology as an innovation opportunity, and innovate new business models on the original PPP model. This paper binds the interests of heating enterprises, users and the government, and seeks a business model that can better meet the interests of the three parties on the basis of the original PPP model.
Asynchronous resonance in the driven Ising model on adaptive networks
Authors: Zhu Xiaolong , Mao Zhipeng , Zhang Haitian , Liu Wanneng , Ni Hang , Zheng Guang , Zhan Zhiming 
Published: March 2020

Abstract
The stochastic resonance was investigated by the field-driven Ising model on adaptive networks. As the structure evolution probability η increases, it is found that the resonance undergoes three states: normal resonance, transition state and abnormal resonance. This work reveals significant effects of the coevolution of the topology and the dynamical processes, which even leads to counterintuitive phenomenon. When the coevolution of the topological structure and states of the system is not strong (corresponding to small η) a weak external field will lead to a positive feedback. However, if the coevolution is strong enough (corresponding to large η) the external field will cause a negative feedback.
Research on the Realization of Risk Sharing of Changing Market Demands in PPP Projects of Sewage Treatment
Authors: Ling Meixian , Du Yaling 
Published: March 2020

Abstract
Through literature analysis, the minimum demand guarantee is identified as the main way to realize the risk sharing of market demand changes in PPP projects of sewage treatment including two price structures, namely the total cost and the two-part charging structure. Firstly, three representative cases are selected from the project database; Secondly, the composition of the service fee settlement price of the three water quantity intervals is comparatively analyzed, that is, the actual treated water quantity is less than or equal to the basic water quantity, between the basic water quantity and the designed water quantity, and is larger than the designed water quantity. Finally, on this basis, three management implications are proposed for the PPP-related practice departments.
Analysis on the Ethnic Food Economy Consumption of Cities along the Belt and Road initiative in China
Authors: Zhang Jiuding , Tian Robert , Nawaz Ahsan 
Published: March 2020

Abstract
This paper explores the reasons why consumers patronize ethnic food services, analyzes the characteristics of ethnic food consumption behaviors, summarizes the current status and existing problems of “the Belt and Road” ethnic food industry, and puts forward some constructive suggestions to help ethnic food service providers to better satisfy the customers’ needs, encourage consumers to re-patronize, and recommend ethnic food services to everyone to achieve the best-selling brand value.
Railway Passenger and Freight Transportation Operation Risk Identification and Evaluation Technology
Authors: Xia Tian , Zhu Xiaoning , Wang Li , Ye Yuchen , Liu Wenqian 
Published: March 2020

Abstract
With the continuous increase of railway operating mileage and the increasing complexity of railway operation system, this paper proposes a real-time security state identification method based on equipment detection and a risk factor identification method based on security inspection, and under the framework of risk factor classification and identification. The paper proposes to use the existing data information to determine the risk value of the risk factor and determine the risk criteria and the relevant methods of the early warning level judgment standard, and then determine the risk warning level, and provide theoretical support for the security early warning analysis and pre-control decision implementation.
Research on the Joint Decision Model of High-speed Railway Dynamic pricing and Ticket allocation
Authors: Zhu Guangsheng , Zhao Yu 
Published: March 2020

Abstract
In response to the problems such as failure to improve revenue with current static and fixed prices of the same OD in high-speed railways, according to the theory of revenue management, based on the passenger flow given by the railway, on the basis of basic ticket allocation model, the high-speed train ticket pre-sale period is divided into several pre-sale phases, with the revenue of high-speed railway maximization as the goal, building the joint decision model of high-speed railway dynamic pricing and ticket allocation. The model is verified by an example, and the results of the model proposed in this paper are compared with those of the basic ticket allocation model. The results show that the model proposed in this paper can not only improve the revenue and seat occupancy rate, but also provide passengers with highspeed railway passenger transport products at different prices.
The Application and Problems of Big Data Analysis in Accounting Work
Authors: Jia Ziqi 
Published: March 2020

Abstract
Since the computer has been used in accounting work and with the current economic development, the enterprise accounting system has formed a large amount of data in the accumulation. The application of big data technology in enterprises is mainly in the R&D department, and the application rate of the finance department is not very high. In recent years, the development of big data technology and cloud computing technology has become increasingly mature, and the function of financial accounting has also gradually shifted to manage accounting. Previously under the traditional accounting method, the data that is not fully utilized by the technology can be fully explored today by relying on big data analysis. This article expounds the application of big data analysis method in modern business accounting data, and compares a series of advantages of big data analysis method with traditional analysis method. Finally, it is mentioned that in the era of highly developed Internet, there may be problems in applying big data analysis.
Surface Natural Spectrum BRDF Modeling of Commonly Used Materials on Space Targets
Authors: Liu Yuying , Dai Jingjing , Zheng Yongchao , Zhao Sisi , Shang Weidong , Zhang Jinghao , Li Tong , Wang Zhiyong 
Published: March 2020

Abstract
This paper measures and analyzes bidirectional reflectance distribution function (BRDF) on material surface of space target under natural light within spectrum range of 400nm-900nm. Through optimization of five-parameter model, the paper carries out modeling and optimal fitting in combination with genetic algorithm and the least square method. Results show the combination of genetic algorithm and the least square method could improve fitting precision of computing results and experimental measurement results, save time, and prove the effectiveness and practical performance of the method.