bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on integration of Beidou Positioning and RFID antenna module
Authors: Xia Chuanfu , Li You , Zhang Lili , Liu Wei , Liao Baoquan , Zhang Yonghui , Zheng Lingfeng 
Published: May 2021

Abstract
RFID radio frequency identification technology has been carried out on the grid assets life cycle management all the various levels of application, the technical implementation model is the physical label paste on the assets, equipment information storage, contactless batch read and data transfer. This design studies the long-distance ultra-high RF technology and designs the integrated ultra-high frequency module through the RFID asset physical electronic identification; the design studies the high-precision Beidou Positioning Technology and designs the integrated high-precision positioning module. According to the above two modules, the peripherals integrating Beidou Positioning and RFID are designed to connect the mobile terminals of various business departments.
Design of airport road surface inspection system based on machine vision and deep learning
Authors: Guo Wentong , Wang Niannian , Fang Hongyuan 
Published: May 2021

Abstract
The specific objective of this study was to solve the problem of high risk and low efficiency of manual inspection of airport road surface. This paper describes the design of an Airport Road Surface Intelligent Inspection System Based on machine vision and deep learning. The system completes the airport pavement inspection through autonomous navigation. MobileNet-SSD and Mask R-CNN algorithms are used for target detection and semantic segmentation of airport pavement apparent disease and foreign object bebris in this paper. At the same time, topological feature extraction and pixel size measurement were carried out. Finally, the information is uploaded to the storage server and the target information is displayed on the Android mobile terminal. The inspection system can complete the work of airport pavement inspection and provide a new way for airport pavement health monitoring.
Reliability tracking method of power system equipment based on Embedded Internet of things technology
Authors: Dai Zikuo , Xu Guohu , Xu Yan , Zhang Shiyang , Yu Zhengzhi 
Published: May 2021

Abstract
Power equipment is one of the most important transmission and transformation equipment in power system. Improving the reliability of power equipment is of great significance to the safe and reliable operation of the whole power grid. A reliability tracking method of power system equipment based on Embedded Internet of things technology is proposed. The minimum cut set algorithm of reliability index based on Embedded Internet of things technology is given. In this paper, a fault tree analysis method for power system equipment unreliability index is proposed. According to the analysis of equipment structure, component function and failure mode, the fault tree model of power system equipment is established, and the reliability tracking calculation example is analyzed. Experiments show that the method can track the order stably, determine the key components that affect the reliability of the equipment, and identify the weak links of the equipment.
Probabilistic switching can solve the problem of costly prosocial exclusion
Authors: Xie Wei-Wei , Liu Hong-Ye , Gao Feng , Zhang Jie-Ru 
Published: May 2021

Abstract
Public Goods Game (PGG) originates from “the Tragedy of Commons”, which is argued by the American scholar Hardin. PGG is a type of evolution game that these individuals in this game can affect each other, and reached a stable state. This paper demonstrates a new version PGG model which is an exclusion PGG model. Besides, combing Parrondo’s Paradox with this PGG model, and it also shows a similar “winning” outcome. Parrondo’s Paradox shows that two individual-losing games, when alternate, yield a winning outcome. Moreover, the additional periodic switching mechanism also applies to the PGG model and obtains a similar result when compared with that of conventional Parrondo’s Paradox. The biggest contribution of this paper is that Parrondo’s Paradox can fully applicable to the exclusion PGG model, and that simulation result also presents an effective result.
Analysis of rail acoustic model based on phased ultrasonic array
Authors: Zhang Xing Jia , Ren Wan Ting , Yang Yong Jie 
Published: May 2021

Abstract
In the traditional ultrasonic flaw detection, two forms of A scan and B scan are mainly used to check the echo information. The traditional method of defect analysis can only detect the existence of defects, but can not locate the exact position and shape of defects. In this paper, we will present a method of locating the defects in ultrasonic detection for rail. In this method, the position information and incidence angle of ultrasonic probe are obtained, and then the propagation path of primary wave and secondary wave of ultrasonic wave in rail is calculated by mathematical modeling. Finally, the internal defects of rail can be located by combining the echo information collected by ultrasonic probe.
Map style transfer using pixel-to-pixel model
Authors: Jin Weisheng , Zhou Shihui , Zheng Luhao 
Published: May 2021

Abstract
The image style transfer is a well-known task and it is applied commonly in the field of artificial intelligence, which converts an image to an image with a specific style without modifying the image content and can be applied to many fields such as changing styled automatically for photos in the cellphone and map wrapping. Recent works focus on a general image style transfer. In this paper, we aim to solve the problem in a navigation application, which is to transfer the satellite maps into map images automatically by deep learning techniques. The methodology we choose for this project is a special GAN named pix2pix model. We decide to use the satellite images as our inputs for the model and let the corresponding Google map images be the output sources. Similar to a traditional GAN, we train the discriminator and generator simultaneously and we attempt to run the training process for 50 epochs in total. PNSR and SSIM are two features we are going to use to test the performance of our results. Finally, the accuracy needs to be improved.
Research on Design and Dispatching of Circular Shuttle System
Authors: Wen Wen , Feng Changhuan 
Published: May 2021

AbstractThe shuttle is also called Rail Guide Vehicle (RGV). It has the characteristics of fast conveying speed, good flexibility, and high degree of automation. The circular RGV system is widely used in logistics network dispatching. The genetic operator of the ordinary partheno genetic algorithm is improved by the single-point transposition operator and the roulette method, and the improved partheno genetic algorithm is obtained. The improved partheno genetic algorithm is used to model and design the circular shuttle system.
Forecasting the Price of Fuel Oil: A STL-(ELM+ARIMA) Combination Approach
Authors: Yu Fangping , Liu Yanqing , Zhang Chenxi 
Published: May 2021

Abstract
Focusing on fuel oil price forecasting, we propose a “decomposition-prediction-integration” route and STL-(ELM+ARIMA) combination forecasting model. This model decomposes the fuel oil price time series by STL, and effectively combines the advantages of high frequency seasonal cycle and short-term fluctuation time series forecasting in ELM non-parametric model with the advantages of low frequency trend forecasting in ARIMA parametric model. Finally, this paper conducts an empirical study on the spot price of Singapore’s Platts fuel oil 180CST to verify the effectiveness of the proposed forecasting method. The results show that the forecasting accuracy of 180 CST fuel oil price model based on STL-( ELM (1) + ARIMA (2) +ELM (3)) is highest.
Properties to Determine Inscribed Ellipses of Polygons
Authors: Li Yarong 
Published: May 2021

Abstract
In this paper, we extend the result of [1] by calculating some examples in detail, including the inscribed ellipses in triangles, quadrilaterals, and pentagons. We also improve the original proof and reduce the requirements through projective geometry methods in the quadrilateral and pentagon cases. Furthermore, we see the inscribed ellipse problems from the perspective of two projective planes simultaneously, which offers a new way to determine the inscribed ellipses in triangles. Also, we use python to realize the method provided in this paper of drawing inscribed ellipse.
Research on dynamic spectrum allocation method based on number of users in wireless communication system
Authors: Xia Yi , Cai Pengshuai 
Published: May 2021

Abstract
As wireless communication has developed rapidly, spectrum plays an essential role in system performance. How to allocate the limited spectrum is a critical problem. In this paper, we research spectrum allocation algorithms in the wireless system, such as Simultaneous Water-Filling (SWF), Fractional Frequency Reuse(FFR), and Forward-Looking Game(FLG). Then we combine the SWF and FFR to make a new method. We demonstrate the performance of each method. Our method saves spectrum in a wireless system, and it can also reduce the interference between different users. Our method, namely Dynamic Method, has an actual meaning because the number of users always changes in some cell, and this method can adjust to the wireless system dynamically. In this way, our method might have a more general use.
The supply chain coordination model based on sales return and efforts
Authors: Sun Yichuan , Huang Fei , Zhong Jiawei , Ma Le 
Published: May 2021

Abstract
Taking a two-stage supply chain model of a single manufacturer and a single retailer as the research object, this paper initially proposes the random demand function of retailers’ effort to establish an integrated supply chain model based on dual factors of retailer effort and selling price. Then it discusses how to optimize the reward and punishment contracts to realize the win-win situation of supply chain members under decentralized decision-making by analyzing the coordination and optimization of supply chain under centralized and decentralized conditions. Finally, the conclusion is verified by numerical simulation experiment, effort and quantity will decrease along with the increase of the distribution coefficient and will increase with the increase of the buy-back price’s coefficient.
Design of the Corn Field Straw Chopper Transmission System Based on Virtual Prototype Technology
Authors: Li Yanying , Liu Mengnan , Xu Liyou , Xiao Jinlong 
Published: May 2021

Abstract
The planting area of corn is large and the straw yield is high in our country. But the number of the straw returned to field is low at present, and the cost of returning straw to field is high. Thus, a set of corn straw returning machine whose productivity is high, cost is low and can be used together with self-propelled corn harvest machine is designed. This paper introduced the corn straw returning machine’s general parameters and drive system’s working process and design process. Then the virtual prototype model of the drive system is built, and virtual prototype technology is used to build the model of the drive system and to conduct kinematics simulation and dynamics simulation. The results show that the angular velocity and the stress of all sample points are all different in different working conditions. The response of the sample point is obvious when the pound load is big, and the response decayed to zero after three cycles of concussion. The relationships between angular velocity and stress of each sample point prove that the virtual prototype model’s validity. This study provides a new method and a way for the design and optimization of corn straw returning machine.
Global Dynamic Surface Control for a Class of Nonlinear System
Authors: Yang Zhou , Wenhan Dong , Zongcheng Liu , Yong Chen , Wenqian Zhang , Haoming Feng , Caihao Sun 
Published: May 2021

Abstract
The traditional dynamic surface control (DSC) method It can only guarantee the final boundedness of semi-global consistency of the system. Furthermore, the selection of filter time constant has significant influence on the DSC control performance. This paper presents a global dynamic surface control (GDSC) method, which constructs an automatically-updated filter time constant by using a first-order sliding mode differential estimator. Based on the GDSC method, a tracking controller is proposed for a class of nonlinear systems, and it is proved by the Lyapunov theorem that the controller can guarantee the global uniformly ultimately boundedness (GUUB) of the system.
An integral inlay type porthole extrusion die
Authors: Chen You peng , Deng Yu wen , Zhang Gui hao 
Published: May 2021

Abstract
A new porthole extrusion die named integral inlay in the male die for Al- profiles was presented. The porthole die structure is composed of four parts, which is different from the traditional structure. The key structure parameters of the new die were introduced. Mainly one male die was divided into two male dies, and the two dies were assembled by inlaying. Through a practical LED lamp aluminum profile, the characteristics of this product and the traditional die structure were analyzed. The selection of these parameters was described in detail, mainly including the structure of two male dies, the design of portholes, the structure of the front feeder plate, the chamber and the bearing belt. The results shows the new die structure is effective, the new die structure has the obvious advantages. Moreover, it can greatly improve the life of the die and simplify processing, as well as save materials. It is a die structure which is worth of being copied and popularized.
Preliminary Study on Data-driven Building Intelligent Design Program
Authors: Yin Weiling 
Published: May 2021

Abstract
This article analyzes the basic characteristics, specific applications, and application experience of data-driven. The author studies the basic concepts, design ideas, basic positioning, application advantages, and application disadvantages of the building intelligent design program. This article analyzes the application points of rational selection of maintenance methods, Internet of Things technology, cloud computing technology, BIM technology, perception technology, and distributed processing technology. The purpose of this article is to improve the rationality of the content of intelligent building design and create good conditions for the orderly progress of subsequent construction activities.
Electronic structure of nitrogen-doped carbon nanotubes under stress
Authors: Zhang Hanwen 
Published: May 2021

Abstract
Due to the demand for miniaturization and low energy consumption of electronic device, field-effect transistors based on carbon nanotubes have received extensive attention. However, the electronic properties of carbon nanotubes, especially when subjected to stress and doping, are not very clear. In this study, first-principles calculations are used to investigate the deformation of carbon nanotubes under the action of nitrogen doping and tensile stress, as well as the changes in electronic energy bands. The results show that nitrogen atom doping will reduce the tensile strength of carbon nanotubes and increase the conductivity of carbon nanotubes, while stress helps to open the band gap. Our research has guiding significance for the prediction of electronic properties of carbon nanotubes under doping and stress.
Iterative Finite Element Method Applied to the Nonlinear Electric Field of ±400kV Converter Transformer Barrier System
Authors: Shiling Zhang , Yongliang Ji 
Published: May 2021

Abstract
The DC steady-state and the polarity reversal (PR) are typical states of composite insulation in converter transformer barrier system, and the insulation medium has the strong E-field and temperature nonlinear characteristic, so the DC steady-state and polarity reversal E-field will be affected by the variation of electric parameters under temperature gradient. The FEM was applied to the quantitative E-field analysis considering electric and temperature nonlinear factors simultaneously. First, the nonlinear relationship between conductivity with E-field and temperature of medium has been obtained by experiments. Then, the iterative FEM was proposed and verified by coaxial insulation with analytical solution. Finally, the full-scale model of ±400kV converter transformer barrier system has been established, the DC steady-state and polarity reversal E-field has been calculated with the proposed method. The results show that under linear and nonlinear conditions the E-field is quite different, and E-field non-linearity can inhibit the local high electric spot, temperature non-linearity can reduce the E-field in the high temperature area and increase that in the lower temperature area. Under the temperature gradient condition, the local high E-field spot is easy to occur in the PR process. The iterative FEM and calculation results can provide references for the design of converter transformer barrier system.
Wood Composite Plates with Reversible Humidity-driven Deformation
Authors: Mu Yumao , Zhang Qi , Guo Zhangxin , Li Yongcun 
Published: May 2021

Abstract
Four types of beech/spruce composite plates were fabricated from beech with different wood textures under different initial ambient relative humidity, and the impacts of the changes in ambient relative humidity on the deformation characteristics and mechanical properties of the composite plates were studied. It was found that the reversible bending deformation of the composite plates can be achieved by adjusting the ambient humidity. The bending deformation characteristics of the composite plates were related to the initial fabrication conditions and humidity expansion characteristics of the wood, and conformed to the improved Timoshenko theoretical model for bilayer humidity expansion materials. The experiments on humidity-driven deformation of the counter-balanced composite plates showed that external load would hinder the deformation of the composite plates driven by the ambient humidity, but the composite plates still had a good load-bearing capacity.
Fabrication and characterization of a novel environment-friendly inorganic fireproof adhesiveused for fire resistant doorsets
Authors: Xiang Zhang , Chaolu Yin , Pingli Li , Fuxin Fu 
Published: May 2021

Abstract
A novel environment-friendly inorganic fireproof adhesive was prepared with sodium silicate, fumed silica, light calcium carbonate, aluminum hydroxide and magnesium hydroxide by high-speed mixing and ball milling. The bond strength, formaldehyde and VOC emissions, thermal properties and fire performance of such adhesive were investigated. The bond strength of the adhesive was increased with the adding of the fumed silica, which reached 1.8 MPa when the amount of fumed silica was 1.5 wt.%. Formaldehyde and VOC emissions of this adhesive were far lower than those of the requirements in Chinese standards. The combustion grade of this adhesive could achieve A1 and its smoke toxicity grade could achieve AQ1, which was the safest grade of flammability for building materials.
A continuous integration and web framework in support of the ATLAS publication process
Authors: Araque Espinosa J.P. , Baldi Levcovitz G. , Bianchi R.M. , Brock I. , Carli T. , Castro N.F. , Ciocio A. , Colautti M. , Da Silva Menezes A.C. , De Oliveira da Fonseca G. , Domingues Macedo Alves L. , Hoecker A. , Lange Ramos B. , Lemos Lúcidi Pinhão G. , Maidantchik C. , Malek F. , McPherson R. , Picco G. , Teixeira Dos Santos M. 
Published: May 2021

Abstract
The ATLAS collaboration defines methods, establishes
procedures, and organises advisory groups to manage the publication
processes of scientific papers, conference papers, and public notes.
All stages are managed through web systems, computing programs, and
tools that are designed and developed by the collaboration. A
framework called FENCE is integrated into the CERN GitLab software
repository, to automatically configure workspaces where each
analysis can be documented by the analysis team and managed by the
relevant coordinators. Continuous integration is used to guide the
writers in applying consistent and correct formatting when preparing
papers to be submitted to scientific journals. Additional software
assures the correctness of other aspects of each paper, such as the
lists of collaboration authors, funding agencies, and foundations.
The framework and the workflow therein provide automatic and easy
support to the researchers and facilitates each phase of the
publication process, allowing authors to focus on the article
contents. The framework and its integration with the most up to date
and efficient tools has consequently provided a more professional
and efficient automatized work environment to the whole
collaboration.
Intense agricultural irrigation induced contrasting precipitation changes in Saudi Arabia
Authors: Lo Min-Hui , Wey Hao-Wei , Im Eun-Soon , Tang Lois Iping , Anderson Ray G , Wu Ren-Jie , Chien Rong-You , Wei Jiangfeng , AghaKouchak Amir , Wada Yoshihide 
Published: May 2021

Abstract
Groundwater extraction has grown tremendously in Saudi Arabia to meet the irrigation water demand since the 1980s, and irrigation is one of the major anthropogenic factors modulating regional hydroclimate. However, the link between irrigation and hydroclimate is not well understood in a dry region such as Saudi Arabia. In this study, we utilize three different regional climate models to explore the physical mechanisms behind the irrigation impacts in this region. The results are robust across models and show that when irrigation is applied, wetter soil results in higher evapotranspiration and cools the lower atmosphere, leading to an anomalous pressure field and alters vapor transportation. Precipitation decreases locally because of the local cooling effect, whereas additional water vapor convergence enhances precipitation west to the irrigated region. This west–east contrast of precipitation change indicates a possible link between irrigation expansion in the 1980s and subsequent decadal precipitation variations in central Saudi Arabia. We further find from observations a decadal west–east contrast of precipitation changes in Saudi Arabia to support the similar finding in the models. This study implies the importance of including anthropogenic water management in climate models and provides a better understanding of how irrigation impacts local-to-regional climate.
The North Pacific Blob acts to increase the predictability of the Atlantic warm pool
Authors: Liu Yusen , Sun Cheng , Kucharski Fred , Li Jianping , Wang Chunzai , Ding Ruiqiang 
Published: May 2021

Abstract
The Atlantic warm pool (AWP) has profound impacts on extreme weather events and climate variability. Factors influencing the AWP and its predictability are still not fully understood. Other than local ocean–atmosphere feedbacks and El Niño Southern Oscillation, we find an extratropical precursor from the Northeast Pacific (known as the Blob), which leads the AWP by 1 year with a robust correlation (r = 0.68). A suite of Northeast Pacific pacemaker experiments successfully reproduces the leading influence of the Blob on the AWP. The preceding summer Blob-related sea surface temperature (SST) warming signal can be transmitted towards the lower latitudes through the seasonal footprint mechanism, leading to the central Pacific warming in the winter and following spring. Such a strong tropical Pacific SST heating excites an anomalous atmospheric wave train that resembles the Pacific/North American (PNA) teleconnection pattern. At the downstream portion of the PNA, the low sea surface pressure anomalies can be found over the AWP region during the following spring. The anomalous low initiates the AWP SST warming, and the AWP warmer SST can persist into summer and is further amplified due to ocean–atmosphere feedbacks. Our results show that the North Pacific Blob may act as a useful predictor of the AWP 1 year in advance through trans-basin interactions. A Blob-based prediction model shows considerable hindcast skill for the observed AWP SST anomaly.