bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Algorithm and Application of Shield Tunnel Distributed Optical Fiber Monitoring Data
Authors: Li Yujie , An Xiaoshi , Shen Wenyong , Zhu Li 
Published: November 2020

Abstract
Shield tunnels have different degrees of damage due to the differences in the surrounding soil properties, the disturbance of the soil during construction and the repeated loading of vehicles during operation, and there is a tendency to deteriorate with the increase of subway service time. The long-term and large-scale security status monitoring of shield tunnels is an important guarantee for the safety of subway operation. Two diagnostic algorithms based on strain monitoring data are proposed t in this paper, one is for the openness and dislocation of the segments, and the other is for the uneven settlement of the tunnel. The effectiveness of the two algorithms is verified by distributed optical fiber monitoring data of Beijing Metro Line 10. The calculation results are also compared with traditional monitoring methods. The proposition of these two algorithms provides a new idea for the analysis of distributed optical fiber shield tunnel monitoring data, which is beneficial to the promotion of distributed optical fiber monitoring technology.
Application of Particle Swarm Optimization Algorithm in Power Transformer Fault Diagnosis
Authors: Cao Zhong , Chen Chen , Chen Yu , Song Lei , Zhou Huirui , Zhao Guo , Guo Jiang 
Published: November 2020

Abstract
Fault diagnosis of power transformer is indispensable for power system reliability. To improve the function of fault diagnosis and overcome the “code absence” problem of the traditional ratio method, this paper presents a novel approach for oil chromatographic fault diagnosis based on particle swarm optimization algorithm. The PSO algorithm is used to obtain the optimal three-ratio value that can best represent various fault types of power transformers, and then the change trend of the characteristic gas of the power transformer is analyzed to predict the possible faults. Combining the stereogram method and the optimal three-ratio method, A comprehensive fault diagnosis method for based on oil chromatographic distraction is obtained. In the end, simulation of the actual oil chromatographic data of the transformer verifies the accuracy and effectiveness of the proposed method.
An Improved Chaos Quantum Immune Algorithm for Power Generation Expansion Planning
Authors: Han Shifen 
Published: November 2020

Abstract
In this paper, a new chaos quantum immune algorithm is proposed, which combines the ergodicity of chaos search and the efficiency of quantum computation into the immune optimization algorithm. In this algorithm, antibodies in the algorithm population are encoded by quantum bits and replaced by quantum revolving gate. At the same time, in order to evolve the quantum bits of the corresponding phase, we introduce two different chaotic variables into the quantum revolving gate. Among them, local search is realized by using a small number of excellent clones; the excellent clone with relatively large amplitude realizes global search. The convergence of this method is verified. At the end of the paper, a simulation example is used to show that compared with the existing methods, The improved immune algorithm has a great improvement in the efficiency of solving the problem, at the same time, it also improves the convergence efficiency.
Design Optimization of Composite Curved Rod for Wind Tunnel Virtual Flight Test Based on Multi-island Genetic Algorithm
Authors: Kong Peng , Lian Zhenzeng , He Miao , Peng Xiaoqiang , Song Jin , Lan Yu 
Published: November 2020

Abstract
The curved rod of carbon fibrecomposite is the key component of the large angle three degree of freedom virtual flight test device. This article takes the composite curved rod as the research object, Establish a finite element analysis model and analyze its strength and stiffness under the initial design conditions, the RSM response surface approximation model and multi-island genetic algorithm are used to optimize the carbon fibre composite angle of each layer of the composite curved rod, so that the maximum deformation displacement of the curved rod is minimized, As far as possible, the influence of the center of mass of the Virtual flight test model on the wind tunnel test data should be reduced. The optimization results show that relative to the initial design, the failure factor of the composite curved rod is reduced by 65.4%, the rigidity is increased by 35.94%, and the maximum deformation is reduced by 44.5%. In order to realize the simulation of flight motions close to 90 ° angle of attack in a horizontal wind tunnel, it provides equipment guarantee for the research of stall deviation, initial phase of spin and stable spin.
A New Transmission Control Application Protocol Optimization Method Based on PROFIBUS-DP
Authors: Wang Liming , Yan Xiaoling , Ouyang Ji-Neng 
Published: November 2020

Abstract
This paper presents an optimization solution on PROFIBUS-DP bus protocol with Ethernet technology. This plan can meet the demands of higher speed and higher reliability of transmission control protocol inside enterprises. It sets up DP Ethernet by defining physical layer, data link layer protocol and establishing EDDL function. The new constructed protocol named DP Ethernet is compatible with the applications based on upper PROFIBUS-DP protocols. It also can support much wider communication bandwidth. DP Ethernet protocol is more efficient than PROFIBUS-DP through analysis on message cycle time and message coding efficiency of networks based on these two protocols.
Optimal Design of Industrial Robot Kinematics Algorithm
Authors: He Dongkang , Liu Fangping , Wang Fuchun 
Published: November 2020

Abstract
According to the singularity problem in the working space of industrial robot, the reachability of robot is judged from the view of equation solution. Based on this, the optimal selection algorithm of multiple solutions of inverse solution has been given.PUMA560 industrial robot is the study object, the parameters of its mechanism and linkage are analyzed, and the forward kinematics and inverse kinematics of the robot are studied by D-H method. In the MATLAB environment, the robotics toolbox for modeling and simulation has been used, the simulation results show that the forward and inverse kinematics model is reasonable and correct. It lays a solid foundation for the follow-up research and development of robot.
Selecting of the Important Warehouses Based on Vague Sets
Authors: Wang Xiaowei , Fan Songfeng , Wang Jieya 
Published: November 2020

Abstract
Proposed a method of optimizing and sorting warehouse protection targets based on Vague sets. Analyzed the index factors that affect the selection and ranking of warehouse targets, and the fuzzy value representation of each evaluation index and the calculation method of index weight. This method can effectively avoid the subjective deviation caused by the traditional expert scoring method. Based on the method, a comprehensive evaluation model of security targets for key warehouses based on Vague sets is established, and methods for selecting and ranking security targets are given. Finally, it is verified by example analysis that the method has accurate evaluation results and has certain reference value for the scientific decision of warehouse leaders.
Flat Trajectory Optimization of Tilt-rotor Aircraft Based on Gauss Pseudospectral Method
Authors: Zhuang Jiayi , Zhang Qian , Zhang Jingjuan , Chen Jiyang 
Published: November 2020

Abstract
The tilt-rotor aircraft has the advantages of high flexibility, low energy consumption and high speed, however, it faces the problems of complex operation and control difficulty. To solve the optimization problem of autonomous landing track of mobile platform, a Gauss pseudospectral method is used to design the landing trajectory of the tilt-rotor with optimal energy and time consumption. Firstly, an autonomous landing trajectory optimization problem model is developed for the tilt-rotor mobile platform. Then, the non-linear planning problem is solved, and finally, the optimal trajectory is put into the control program for control simulation. The simulation results show that the trajectory optimization based on Gauss pseudospectral method can meet the constraints well, which is in accordance with the time and energy consumption of the control program. Meanwhile, the control program simulation results can also keep up with the designed trajectory. It is proved that the Gauss pseudospectral method could design the autonomous landing trajectory with high accuracy and high performance.
Design and Calculation of PC Composite Rigid Frame Bridge with Variable Section Steel Truss Webs
Authors: He Yonghai , Yan Tao , Fu Jundong 
Published: November 2020

Abstract
Steel truss web prestressed concrete composite bridge has many advantages, such as light weight, clear stress, beautiful structure, convenient construction, etc., but it is still in its infancy in China. Taking Shuinianbao bridge of Yanchong high speed as an example, this paper introduces the design method of PC composite rigid frame bridge with variable cross-section continuous steel truss web, and analyzes the static calculation of the whole bridge in combination with the code, so as to provide design reference for the construction and development of PC composite bridge with variable cross-section steel truss web. The analysis results show that: the calculation results obtained after modeling according to the design size meet the design requirements. Under the condition of ultimate bearing capacity, the top plate obtains a more uniform maximum resistance, and the arch curve makes the internal force of the bottom plate relatively small. Under the combination of short-term load effect, the main tensile stress of the inclined section appears at the position close to the support and the middle span section of the top plate. The main tensile stress of the steel truss web member is the most different under the unfavorable load combination, the maximum tensile stress is greater than the compressive stress, and the maximum tensile stress occurs at 1/4 of the mid-span.
A Method for Enhancing Global Safety of Regional Rail Transit Based on Coordinative Optimization of Passenger Flow Assignment and Train Scheduling
Authors: Zhang Mengyu , Dong Wei , Sun Xinya , Ji Yindong 
Published: November 2020

Abstract
Regional rail transit is a kind of comprehensive railway transportation system, which originates from the demand of economic integration of city groups and contains various kinds of sub-transportation systems such as high speed railway, inter-city railway, subway and monorail. Due to the deficiency of coordination between different kinds of transportation systems, the global risk of regional rail transit network greatly increases. Therefore, it is urgent to evaluate the rail transit network safety from a global perspective and enhance the safety through coordinative optimization. To address this problem, a method to evaluate the global safety of regional rail transit system based on passenger flow demand load is proposed, a mathematical model to minimize the global risk of rail transit network is constructed, and the global safety is enhanced by coordinative optimization of passenger flow assignment and train scheduling. An example on the regional rail system in Chengdu-Chongqing district validates the effectiveness of the proposed method. Compared with the method in the literature where only passenger flow assignment is considered, the example shows that the proposed approach can bring a further 10% decrease of the global risk of rail transit network.
Regional Differences and Dynamic Evolution of CO2 Emissions Distribution in China’s Construction Industry
Authors: Li Fen , Chen Jianbao 
Published: November 2020

Abstract
Based on the panel data of 30 provinces in China from 1997 to 2015, this paper uses Dagum Gini coefficient and decomposition method to study the regional differences and sources of China’s construction industry CO2 emissions, meanwhile uses Kernel density estimation method to analyze the dynamic evolution of its distribution in four regions. Research results show that: The regional difference of China’s construction industry CO2 emissions shows a trend of first rising and then declining, and the main source of regional differences is inter-regional differences. The absolute differences of China’s construction industry CO2 emissions are narrowing, and the weak polarization and gradient effect of the distribution of CO2 emissions gradually disappear. These results have important implications for the coordinated low-carbon development of China’s construction industry.
P2P Online Loan Willingness Prediction and Influencing Factors Analysis Based on Factor Analysis and XGBoost
Authors: Zhang Dongyang , Gong Yicheng , Yu Li , Wang Xiaojie 
Published: November 2020

Abstract
This paper selects the open dataset of the auction, combines the factor analysis with XGBoost, analyzes the dimension of the pre-processed high-dimensional data with factor analysis, and then uses XGBoost to predict the investment level of P2P online loan investors, and analyzes and quantifies the willingness to invest. The relationship with specific influencing factors. The main factors affecting the willingness to contribute through the ranking of the characteristic factors of the factor analysis and the reduction of the common factors include: the borrowing rate and the initial rating, the real name certification on the borrower’s mobile phone, and the repaid principal and interest paid. The model prediction results show that the XGBoost method combined with factor analysis predicts that the error rate of the investment level on the training set is train-merror: 0.03829, and the error rate on the test set is test-merror: 0.050386. Compared with the method using XGBoost alone, the prediction error rate based on factor analysis and XGBoost on the training set and the test set is reduced by 0.020706 and 0.0152, respectively, which significantly reduces the error rate; and shortens the operation time by 18 seconds. The conclusions obtained in this paper provide reference for the stable development of the P2P industry and the decision-making of investors.
Research on Restoration Technology and Protection of Island with Ecological Damages
Authors: Wu Jingui , Xu Xueyong 
Published: November 2020

Abstract
Island is a natural platform for people to develop marine resources. With the increasing marine economic development, the island ecology and environment are inevitable to be disturbed by human activities. Degeneration of island ecological functions will restrict sustainable development of economic society in island regions. It is necessary to coordinate consistence of economic development with resource protection and ecological environment in order to solve problems and contradictions in development of island, improve investment environment of island regions and realize sustainable development economic society in island. By analyzing environmental influences of island development, some ecological restoration technologies and protection countermeasures to destroyed islands were proposed based on a case study of the ecological restoration project in Qiaoliangshan Island, aiming to realize the goal of constructing a harmonious and ecological island as well as achieve the sustainable use of marine resources.
Analysis of Steel-Aluminum Anti-Collision Device for Pier Protection
Authors: Gao Xuanlin , Liang Li , Li Ming 
Published: November 2020

Abstract
Ship-bridge collision accidents often jeopardize the bridge structure, shorten the service lifespan, decrease the safety and durability of the bridge and cause losses in the seismic capacity. Therefore, it is necessary to conduct research and simulation on anti-collision facilities for piers. Aluminum foam has significant advantages in anti-collision and energy absorption performance as a new type of foam material. This paper uses ANSYS/LS-DYNA to simulate the process of a ship-bridge collision and analyzes the energy absorption effects of the steel-aluminum anti-collision sandwich structure.
The Design and Analysis of Roller Cone Bit Bearing Ring
Authors: Zeng Ming , Zhou Yi , Ma Yachao 
Published: November 2020

Abstract
Increasing the sealing performance of bearing rings of roller-cone bits plays an important role in reducing the bearing seal failure and improving the service life of drill bits. This paper conducts (1) the structure design of the sealing rings. (2) a simulation on the new designed structure of roller cone bit. The contact pressure together with the equivalent stress of the new tooth bars was analysed by building up the finite element model of the bionic non-smooth surface structure, beyond that the comparisons between the new structure and O type sealing ring were carried out. The results indicate that the ribbed sealing structure is capable of improving the wear resistance, postponing the wear abrasion and ageing, and increasing the service life of rubber ring.
The Bi-moment Analysis for Thin-wall Component under Non-uniform Torsion
Authors: Ye Runcheng 
Published: November 2020

Abstract
Thin-walled steel structural members are commonly used in order to reduce the weight of the building. It might be influenced by bi-moment, which was induced by torsion. In designs, engineers would normally neglect the bi-moment and let bending moment be the key parameter. However, for some situations, stress due to bi-moment would be greater. This study focus on the stress induced by bi-moment under eccentric load, applying on the flange of I section, which aims to find the critical eccentric to decide whether the bi-moment could be neglected. The model focuses on the plastic state with no buckling, using the finite element software Strand7. The result shows that for the I beam, the bi-moment has to be taken into account if the eccentricity is over 0.4.
Design and Evaluation of Experiment Course Arrangement System Based on Backtracking and Analytic Hierarchy Process
Authors: Zhang Zuozhen , Zhang Hengwen , Wang Baoyou , Kong Zhigang , Yao Yan 
Published: November 2020

Abstract
With the continuous expansion of the scale of colleges and universities, it may be necessary to temporarily add some experiment class while teaching, so the demand of the experiment course arrangement system is increasing. Based on the backtracking method, this paper constructs a basic algorithm for the problem of courses arrangement in the laboratory. The algorithm supports the functionality to adding new courses to the schedule at any time, and is able to randomly generate the schedule which generates different outcome at each time the algorithm runs. The branch prediction method is used to optimize the performance of the algorithm. At last, a personal and digital evaluation method of teachers and students’ satisfaction is given by using Analytic Hierarchy Process (AHP) to solve the curriculum problem. By using this method, the curriculum generated by this algorithm can be optimized, so as to getting more satisfactory schedule plan for teachers and students.
Research on Traffic Optimization Scheme of SDN Network Based on ME-HMM
Authors: Yang Yanchun , Sun Hongfeng 
Published: November 2020

Abstract
In this paper, a traffic optimization scheme based on Maximum Entropy- Hidden Markova Model (ME-HMM) in Software-Defined Networking (SDN) networks is proposed in order to resolve the load imbalance in SDN architecture. First, the data flow generated by the host in the SDN network was monitored, and denoising and analyzing would be carried out with the maximum entropy (ME) model to predict the network traffic for a period of time in the future, then the controller would be deployed. Next, the traffic flow was evaluated with Hidden Markova Model (HMM) and the deployment was optimized in the SDN control plane. With the feedback information, the scheme could optimize SDN network traffic and promote load balancing.
Test Case Generation Method Based on User Operation
Authors: Zhang Wei , Yuan Bowen , Li Zhe , Huangfu Ruishuai 
Published: November 2020

Abstract
After the software is published, its users are mainly operators. Although they can find problems with the software, they cannot identify and reproduce software failures. When the software fails, there must be a lot of information related to the failure in the running data of the software to be tested. Therefore, on the basis of obtaining the running data of the software under test, a test case generation method based on user operation is proposed. Based on the generation of software failure, the operation related to the failure is filtered out from the user operation. By taking these operations as the values of the system parameters to be tested, test cases that will inevitably cause software failure are obtained. Finally, the validity of the method is verified by an example, and the test cases obtained are specific to the faults of the software.
Research on Fishery Water Quality Monitoring System Based on 6LoWPAN
Authors: Wang Xueying , Feng Yanli , Sun Jiajun , Li Dashe , Yang Huanhai 
Published: November 2020

Abstract
A fishery water quality monitoring system, based on 6LoWPAN, is proposed which can automatically implement various kinds of supervising tasks according to the changing environment. This system is applied to water quality monitoring of fisheries, realizing remote automatic online monitoring of water quality parameters such as temperature, salt content, pH, and dissolved oxygen, which have a significant impact on the aquatic product growth environment. The monitoring centre software performs the received data analysis, processing, storage, graphic display and alarm, providing the best growth environment for aquatic products. Compared with the existing fishery water quality monitoring methods, the system uses the IPv6 over IEEE 802.15.4 standard to construct a wireless sensor network. 6LoWPAN technology is easier to integrate into larger networks and easier to integrate with Internet-based services. This system can effectively improve the level of water quality management, reduce the risk of aquaculture, and achieve sustainable development of the aquaculture industry.
A Summary of Technical Standards Implementation Benefit Evaluation Practice in Typical Countries
Authors: Hu Yuan , Tang Chenghui , Liang Cai 
Published: November 2020

Abstract
This paper has successively analyzed and compared the practice of the United Kingdom, Germany, France, Canada, Japan, ISO and other countries and organizations in the evaluation of standardization economic benefits. The collection channels and ways, and the design of evaluation model methods provide important inspiration for large enterprises to carry out technical standard implementation benefit evaluation.
High-speed Railway Passenger Flow Analysis Method and Platform Design Based on the Concept of One-Day-One-Plan
Authors: Nie Bowen , Nie Lei , Fu Huiling 
Published: November 2020

Abstract
Based on the concept of One-Day-One-Plan, passenger demand should be considered different every day while timetable should also be adjusted according to passenger flow fluctuation. The analysis of passenger flow provides basis of line planning problem and train timetabling problem. This paper uses cluster analysis to integrate the characteristic of passenger flow data, designs and subdivides the service level of each OD. A data analysis platform connecting with Line Planning Section and Train Timetabling Section is developed to achieve the quick response of the real-time passenger flow fluctuation, ensure the supply-demand match and improve service level.