bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gas Data Prediction Based on LSTM Neural Network
Authors: Li Danhui , Zhang Yingjun , Gong Dali , Pan Lihu , Zhao Yajuan 
Published: March 2020

Abstract
To improve the prediction accuracy of the coal seam gas content in the unmined areas, based on the analysis and study of the main geological factors affecting coal seam gas content, fuzzy mathematics is used as a means of expressing and processing inaccurate data and fuzzy information and neural network as a way to solve the problem to combine fuzzy mathematics with neural network organically and establish a coal seam gas content prediction model based on LSTM neural network. The results of this study show that the LSTM neural network model can not only solve the problems of difficulty to express fuzzy information quantitatively and determine the learning samples, etc., but also extract the non-linear relationship between the coal seam gas content and its various influencing factors accurately. According to the instance operation verification, the prediction accuracy is improved by 4.84% ∼ 25.79% compared with that of the neural network model. The effect of application to the prediction of coal seam gas content is more ideal. It has a good application prospect and can provide a theoretical basis for implementing scientific mine gas management and preventing various gas accidents.
Analysis of Computer Software Experiment Cloud System Design Based on OpenStack
Authors: Wei Rong 
Published: March 2020

Abstract
Computer is widely used in school teaching. The scale of computer room seriously limits the consistency of students’ use of computer, so that the learning content and experimental content cannot be effectively preserved. In view of this situation, many teaching and teaching units are building computer software experimental cloud system based on OpenStack, in order to provide students with independent operation, safe and reliable learning space without increasing the human and financial burden of the computer room. In this paper, the design of computer software experimental cloud system based on OpenStack platform is analyzed, which can be used as a reference for developers.
Research and Development of Off-line Detection System for Electric Vehicle
Authors: Zheng Tuo 
Published: March 2020

Abstract
With the development and popularization of electric vehicles, it is of great significance to study the off-line detection equipment of pure electric vehicles. This paper first analyzes the principle and scheme of the test system, and then designs the test system. Finally, through the verification of the test system, it is proved that it can read and clear the fault code, and speed up the detection speed of the electric vehicle, which not only ensures the quality of the product, but also is conducive to the rapid maintenance of the maintenance personnel.
A Bottom-up Network Slicing Procedure in F-RAN
Authors: Wang Tao , Zhu Zhaopeng , Hu Yu 
Published: March 2020

Abstract
As a core technology of future mobile communication networks, network slicing can provide users with end-to-end, customized, and isolated network connections. Thereby it is of great significance for improving network resource utilization and improving user experience. F-RAN, as a solution for 5G access network, has features such as low latency, support of mobility, and content awareness. Through the analysis of traditional network slicing control and service management and combined with the distributed computing and cache capabilities provided by the F-RAN architecture, this paper proposes a new type of network slice process. Different from traditional network slicing procedure, such procedure can respond to delay-sensitive services and reduce the fronthaul network load, and it could be used as a solution for network slicing in the F-RAN architecture.
Numerical Simulation of Flow Around a Cylinder based on Fluent
Authors: Chen Donghai , Pan Ying , Liu Yibo 
Published: March 2020

Abstract
In this paper, the fluid flow around a cylinder is taken as an example to study the different characteristics of fluid flow. Gambit is used to build a 2D model of the watershed and its cylinders, and divide the mesh and define the boundaries. The flow model was constructed with Fluent, the steady-state flow in this flow state is simulated and calculated. And draw the velocity vector of the steady flow of the fluid, use the velocity vector to clearly show the double vortex behind the cylinder. Finally, through Carmen vortex street flow simulation and other parameters, the single vortex frequency is calculated and compared with the single vortex frequency calculated by Fluent to verify the correctness of Fluent’s calculation.
Real-time Online Education of College English Based on Cloud Computing
Authors: Yu Shuti , Guo Jianli 
Published: March 2020

Abstract
The implementation of internationalization makes English education more and more important. In colleges and universities, English is an important basic course. With the popularization of cloud computing, more and more universities are applying cloud computing to English teaching. Cloud computing provides new ideas and methods for college English education. In view of this, this paper proposes a study of cloud-based college English real-time online education. This article first describes the impact of cloud computing on college English education, and conducts research through controlled experiments and questionnaires. The experimental results in this article show that after an experimental period, the students in the experimental group have made significant progress, especially in the listening level. The listening level of the students in the experimental group has increased by 57%. In contrast, the control group has improved, but Obviously lags behind the experimental group. In addition, students also have a good opinion of real-time online education. Although the advantages and disadvantages of real-time online education, the advantages outweigh the disadvantages in general, and most students say that this education method is more novel and attractive. The research results of this paper provide a new idea for the future teaching model of college English education and have good reference value.
Non-Search Mathematical Programming Algorithm for Limit Analysis
Authors: Gao Haiyan 
Published: March 2020

Abstract
In order to improve the ability of no-search mathematical programming under limit analysis, and guide big data to optimize classification, a non-search mathematical programming model based on limit analysis model is proposed. The non-search mathematical programming of hyperbolic differential equations in the limit analysis model is analyzed, which provides a mathematical theoretical basis for solving the stability control problem of the system. The hyperbolic differential equation is constructed and the characteristic decomposition of the linear programming model is carried out by using adaptive limit analysis method. The searching delay two-degree-of-freedom control method is used at the load balancing point to adaptively optimize the searching delay parameters of the limit analysis model. In this paper, the hyperbolic differential equations in the limit analysis model are obtained, and the theorems of non-search mathematical programming are given. The mathematical analysis shows that the hyperbolic differential equations in the limit analysis model have the characteristics of non-search mathematical programming. The given theorem of non-search mathematical programming is reliable, and the characteristic solutions of differential equations are stable convergence, which can guide the stability control and improve the control accuracy and reliability. The simulation results show that the algorithm has better convergence and shorter time cost under the limit analysis.
A Survey on One-shot Neural Architecture Search
Authors: Xiao Yao , Qiu Yahui , Li Xiaofan 
Published: March 2020

Abstract
Complex deep neural network architecture such as AlexNet has great success in image classification, natural language processing and other applications. The choice of network architecture has proven to be critical. And researchers begin to design more and more complex networks in order to obtain better performance. However, designing complex networks manually often consumes a lot of computing resources and time, so the automated Neural Architecture Search(NAS) has attracted more and more attention in recent years. Currently, NAS have shown great potential in designing new architectures with high performance and high efficiency. Thus, first of all, this paper briefly introduces the development context and different directions of NAS. But compared to other NAS surveys, this paper focuses on One-shot-NAS methods. Among different methods of NAS, One-shot-NAS can achieve better performance in less time. Through comprehensive comparison and analysis, we apply a novel categorization on One-shot-NAS methods that are based on DAG, Hypernetwork, and network transformation respectively.
Multi-Objective Optimization of Steam Power System in Iron and Steel Enterprises Based on Genetic Algorithm
Authors: Li Zuoshan , Li Yingbo 
Published: March 2020

Abstract
In the fields of engineering technology, economy and systems engineering etc. there are many multi-objective optimization problems. The multi-objective optimization problem is a kind of complex optimization problem that are difficult to solve. Therefore, the thesis proposes themulti-objective optimization genetic algorithm based on Pareto optimal solution database. This algorithm improves the selection operator with a preservation mechanism--data basethat can reservethe optimal solution of each generation of Pareto. As for the Pareto optimal individual in data base, the optimal solution of
Pareto
operation and the Euclidean distance operation are carried out. Experimentalverification verifies that this algorithm not only effectively avoids the damage caused by selection, cross and mutation operation to
Pareto
, but has high evolution speed and stable algorithm.
Strategy of Enterprise Network Security Protection Based on Cloud Computing
Authors: Wang Qiang 
Published: March 2020

Abstract
With the rapid development of science and technology in modern society, enterprises are developing in the direction of more openness, standardization and network interconnection. Although enterprises have realized the informationization of production and operation earlier, their network information security architecture is still not perfect, and the existing network information security model cannot be fully applied to some enterprises, which has made some enterprises unable to fully protect their network information security. Therefore, there is an urgent need for a more targeted network security model for enterprises to enhance the security strength of their network information systems. Based on the analysis of the security situation of the enterprise network information system, this thesis combines the security status of the enterprise information system and the main threats to construct a cloud computing-based enterprise network security model. This model is a classic network security model of dynamic closed-loop management consisting of four modules: protection, detection, response and recovery. On this basis, a risk-hardening security hardening scheme is designed and implemented, and the practicability and effectiveness of the improved enterprise network security model are verified. The research in this thesis proves that the improved enterprise network security model can make domestic companies ‘network information systems more robust, and also provides a reference basis for the construction of other small and medium-sized enterprises’ network information systems. Instead, it is developing in the direction of combining technical and management methods to effectively improve the level of enterprise network information security.
Feature Detection Algorithm of Chaotic Data in Distributed Networks
Authors: Pan Ning 
Published: March 2020

Abstract
The chaotic data in the distributed network is affected by the disturbance information of the network nodes, which leads to the poor convergence of the data feature detection. A new algorithm for the chaotic data feature detection in the distributed network is proposed based on fuzzy C-means clustering. According to the association rule attributes of the chaotic data in the distributed network, the principal component analysis is carried out, and the semantic attributes and fuzzy clustering features of the chaotic data in the distributed network are extracted. The joint association rule analysis method is used to deal with the interference filtering of the chaotic data in the distributed network, and the classified fuzzy set of the chaotic data in the distributed network is constructed based on the sensor fusion tracking measure method. In the fuzzy data set, the mixed weighting and adaptive block matching of chaotic data in distributed network are carried out, and the association rule feature quantity of chaotic data in distributed network is extracted. The extracted features are input into the fuzzy C-means clustering classifier for data classification and recognition, and the optimized feature detection of the chaotic data in the distributed network is completed. The simulation results show that the proposed method has good data convergence, strong convergence and anti-interference in the process of feature detection in distributed networks.
Microstructure of B4C/TiC/TiB2 reinforced surface titanium matrix composite produced by laser cladding
Authors: Hu C L , Sun R L 
Published: March 2020

Abstract
Ti+30%B4C/Ni (nickel-coated boron carbide) was used as cladding material and the titanium metal was prepared on the TC4 titanium alloy substrate by using the unmelted particle reinforced and in-situ autogeneous enhancement technology using a-hundred-watt grade fiber laser heat source to produce the B4C/TiC/TiB2 composite reinforced coating. We analyzed the phase composition, distribution and microstructure characteristics of the coating. The results show that the multicomponent composite strengthening coating prepared by adding B4C/Ni powder is mainly composed of metal-based α-Ti, unmelted particle-phase B4C, in-situ as-grown TiC, TiB2, TiB, and intermetallic Ti2Ni. Each ceramic particle is reinforced and intertwined, depending on growth. With the addition of 30%B4C/Ni, the average microhardness of the coating was 917.7 HV0.3, the coefficient of friction was stable at 0.19-0.22, and the minimum amount of atmospheric wear was 7.2 mg. The coating had good antifriction and wear resistance.
Crack growth life estimation for No. 17 coupler knuckle in China Datong-Qinhuangdao railway freight trains
Authors: Li C , Sun S G 
Published: March 2020

Abstract
In order to predict the fatigue life of couplers for heavy haul railway freight trains of the Datong-Qinhuangdao Railway in China, a model for calculating the crack initiation life of coupler knuckle is established based on the stress-strain relationship of coupler knuckle material and the theory of cumulative damage. Considering the local plastic effect of coupler structure, the stress dangerous part of coupler knuckle is defined by adopting the steady state method in the local stress-strain method. Based on the longitudinal coupler load spectrum of the 20,000-ton freight train under study and considering the randomness of coupler position, the mixed coupler load spectrum is obtained for the first time. The fatigue life of coupler knuckle of a particular heavy haul railway freight train is calculated. The life of coupler knuckle calculated by the method presented in this paper is consistent with the actual repair cycle of coupler, which can effectively minimize the impact of coupler crack fault on the train operation safety.
Analysis and mitigation of defective circular structures in HPCVD-grown MgB2 thin films
Authors: Li Y L , Kong X D , Han L 
Published: March 2020

Abstract
In MgB2 films synthesized via hybrid physical-chemical vapor deposition, circular structures containing Mg microparticles were detected, with diameters ranging from 17 to 25 μm. The thinning of MgB2 film was observed inside these circular structures, which formation was found to be induced by rapid heating process and intense evaporation of Mg slugs. Tiny Mg droplets sputtering onto the substrates during rapid heating process influence the growth of MgB2 film and tend to form circular structures around Mg particles, which problem can be mitigated by slowing down the heating process. As a result, MgB2 films with smooth surfaces were obtained, which is instrumental in the fabrication of MgB2 film electronic devices.
A raster polishing path-planning method based on the untethered magnetic manipulation polishing
Authors: Zhou X Q , Wang H C , Sun B Q , Wang Y F , Wu X Y 
Published: March 2020

Abstract
In order to improve the precision of untethered magnetic manipulation polishing of material workpieces, this paper proposes a new surface path-planning method for free-form surfaces based on the refinement of the conventional polishing path method and determination of its relevant parameters. The results obtained and proposed optimization rules also make it possible minimize the regular scratches and uneven polishing caused by the path itself in a conventional raster-shaped path and reduce the spatial error.
Effects of active adsorption on thermodynamic equilibrium of solid-liquid interface
Authors: Cheng L X , Yan B H , Liu Y 
Published: March 2020

Abstract
The effect of active adsorption on thermodynamic equilibrium of solid-liquid interface is analyzed. The results show that the Young’s equation is inapplicable in case of active adsorption at the solid-liquid interface. For the case of wetting balance with active adsorption, a new thermodynamic equilibrium equation was deduced, which has the same form of Young’s equation but implies a different physical meaning. The wetting force caused by adsorption is presented as an imaginative force, which promotes the liquid wetting at non-metal substrates. The estimation of wetting force for silicon reveals that the active element segregated at the solid-liquid interface plays an important role in thermodynamic equilibrium, and the wetting force is sufficient to drive the high-energy liquid metal to wet and spread on the surface of non-metal substrate.
Study of confocal 3D micro X-ray fluorescence analysis technique based on polycapillary X-ray lens
Authors: Meng Z Y , Xiang Z J , Liu Z G , Hao Y A , Pan K , Zhou P , Lin X Y 
Published: March 2020

Abstract
This study realized the microcell analysis using confocal area formed by a pair of polycapillary X-ray lens, built a 3D micro X-ray fluorescence spectrometer, elaborated the controlling software, and analyzed the 3D scan performance of the set-up via its measured and calculated basic parameters. The depth-detecting performance of the developed set-up was assessed by scanning several samples of Cu-Mo thin film on silicon base and red-green porcelain of Ming dynasty under different conditions. In addition, through surface-adaptive scanning, the scanning and identification of the fractures and fine cracks of the ceramic samples revealed the morphology of samples, which was consistent with the theoretical model.
Preparation of biodegradable PLA/PCL composite filaments: effect of PLA content on strength
Authors: Qiu H M , Hou K W , Zhou J P , Liu W J , Wen J B , Gu Q F 
Published: March 2020

Abstract
As one of the predominant 3D additive manufacturing technology, fused deposition modeling (FDM) suffers from the rich printable filaments. The goal of this paper is to produce a fully biodegradable polymeric composite filament by blending polylactic acid (PLA) with polycaprolactone (PCL). The effect of PCL content on the geometry, size, roughness and ultimate tensile stress of PLA/PCL composite filaments was investigated, and mechanical properties of the printed components were tested. The results indicate that, with the increase of PCL content, the diameter and ultimate tensile stress gradually decreased, while the surface roughness gradually increased. Due to the toughing effect, with an increase in PCL content, the tensile strength of parts decreased, while the elongation at break and the impact strength kept rising. It was found the parts printed with the addition of 20% of PCL composite filament exhibits the optimal comprehensive performance.
Synthesis of waterborne polyurethane acrylate–modified epoxy resin
Authors: Liu Hongbo , Xue Xiaowu , Zhang Wuying , Lin Feng 
Published: March 2020

Abstract
This study aimed to synthesize a cationic waterborne polyurethane acrylate–modified epoxy acrylic resin (CWEA) from bisphenol A epoxy resin, acrylic acid, 2,4-toluene diisocyanate, polyethylene glycol 400 (PEG-400), 2-hydroxyethyl acrylate, and hydroquinone as inhibitors and N,N-dimethylbenzylamine as a catalyst. The changes in the NCO groups and the acid value during the synthesis process were measured using the chemical titration method. This method was considered as the best method for synthesizing epoxy acrylate monoesters, with optimal reaction conditions for polyurethane acrylate–modified epoxy resin.
Welding residual stress reduction assessment in steel rings via the spectral harmonic vibration aging test
Authors: Liang X D , Shi G L , Wang G Z , Zhou X Z , Shang B S 
Published: March 2020

Abstract
The generation of welding residual stress easily causes fatigue cracks in the interior of the structure where the welding residual stress is high. It finally causes the fatigue fracture under the combined action of external load and internal stress, resulting in failure of welded structural parts. It has the fatigue crack and fracture failure during the use of the radial engineering steel ring. In view of this phenomenon, this paper proposes a spectrum aging test analysis of steel rings using spectral harmonic vibration stress relief system. Through the statistical analysis of the test data, the results show that after the vibration aging treatment, the transverse and longitudinal welding residual stresses in the steel ring’s weld seam have a large downward trend as a whole, and the residual stress reduction rate of each test point is about 25%. This study provides a reference for the application of vibration aging technology to steel ring weldments.
The quantitative analysis of several metal elements in a solution by the confocal X-ray fluorescence thin-sample approach
Authors: Sun X P , Zhang X Y , Wang Y B , Li Y F , Shao S K , Peng S Q , Li H Q , Liu Z G , Sun T X 
Published: March 2020

Abstract
By a comprehensive combination of confocal X-ray fluorescence and thin-sample approach used in conventional X-ray fluorescence devices, a new “confocal equivalent thin-sample method” based on confocal X-ray fluorescence setup is proposed. It is used to quantify the concentration of several metal elements in a solution. Compared with the conventional X-ray fluorescence, this method could quantify the sample directly via the thin-sample approach and required not complicated sample preparing process. In the study, a liquid solution containing Cr, Mn, Fe, Co, Cu, Zn, As, Br, and Sr wase used to verify the proposed method.