bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eliminating continuous grain boundary α phase in laser melting deposited near β titanium alloys by heat treatment
Authors: Li Penglin , Liu Changmeng , Wang Jie , Lu Jiping , Ma Shuyuan , Fan Hongli 
Published: August 2019

Abstract
Continuous grain boundary α phase (α

gb
) is widely present in laser melting deposited near β and β titanium alloys, and it can lead to intergranular fracture and low ductility. Because of the preferential nucleation and growth of α phase at β grain boundaries, the continuous α

gb
cannot be effectively eliminated by traditional heat treatment. Thus, in this study, we develop a new heat treatment including beta solution + ultra-slow furnace heating up + traditional heat treatment, to eliminate continuous α

gb
in laser melting deposited Ti-5Al-5Mo-5V-1Cr-1Fe near β titanium alloy, and the microstructures and tensile properties are investigated. The results indicated that, after beta solution + normal heating up + traditional heat treatment, the continuous α

gb
still exists, and the elongation is still low about 7.5%. However, after beta solution + ultra-slow heating up + traditional heat treatment, there are almost no continuous α

gb
, and the elongation increases to 15.2%. The mechanism about the α

gb
formation during ultra-slow heating up process is simply revealed. Furthermore, this new heat treatment is also suitable to eliminate continuous α

gb
for laser melting deposited Ti17 alloy.
Study on sensitivity of JOM-4 Overhauser magnetometer
Authors: Zhao Jianchang , Chen Shudong , Zhang Shuang 
Published: August 2019

Abstract
Overhauser proton magnetometer is a scalar instrument for measuring the total magnetic field intensity. Sensitivity, as one of the important specifications, reflects the ability to measure the change of magnetic field when detecting magnetic anomalies. It is very important to study the sensitivity estimation method for accurately evaluating the sensitivity specification of the magnetometer. In this paper, two methods, synchronous measurement method and gradient measurement method, are proposed to estimate the instrument sensitivity. The experimental results show that the lower the external environmental electromagnetic interference is, the more accurate the sensitivity estimation is. Furthermore, when the synchronization accuracy is about 1.7 milliseconds, the estimation results of the synchronization measurement method and the gradient measurement method are almost equal. Finally, in the environment with low electromagnetic interference, the sensitivity estimation of the JOM-4 magnetometers is 0.042 nT@3s.
Improving fracture toughness of epoxy resin composites by magnetic particles modified short glass fiber
Authors: Huang J J , Ma C G , Wang S , Huang T , Chen C F , Dai P B 
Published: August 2019

Abstract
In this paper, magnetic nanoparticles were loaded on the surface of short glass fibers by solvent thermal method to prepare magnetic short glass fibers (MSGF) that has orientation response to a weak magnetic field (0.12T), and further MSGF/epoxy resin (EP) composites were prepared. Scanning electron microscope, X-ray diffractometer, infrared spectroscopy and vibration sample magnetometer were used to characterize the samples before and after loading magnetic nanoparticles on the surface of SCF. The effects of MSGF particle content and magnetic field on the fracture toughness of MSGF/EP composites and the toughening mechanism were investigated. The results show that γ-Fe2O3 nanoparticles surface loaded MSGF are successfully achieved using solvothermal synthesis method under the 240 °C with ferric acetylacetonate as iron source and ethanol as solvent. With the optimum MSGF content of 3wt%, when MSGF are oriented along the direction perpendicular to the crack growth under magnetic field, compared to that of pure epoxy resin, the fracture toughness K
ic
and G
ic
of the composite materials with magnetic orientation are increased by 54.4% and 138.5%, respectively, and increased by 20% and 43.9% than that of MSGF/EP composites without magnetic orientation, respectively. The main mechanisms of toughening epoxy resin by MSGF include debonding, pulling-out, bridging and deflecting crack.
Influence of Mixing Process of High Performance Concrete
Authors: Zhao Wu , Mao Kaicheng , Ma Ruifang , Guo Liang , Feng Zhongxu 
Published: August 2019

Abstract
In this paper, three kinds of concrete mixing processes are studied, which are cement coating method, cement mortar method and cement paste method. Three mixing processes were compared with conventional method to explore the effect of the mixing process under vibration stirring on the working performance and mechanical properties of fresh concrete. Concrete slump, expansion, inverted slump cylinder emptying time, gas content and compressive strength were tested on a twin-shaft vibrating mixer to compare the differences in concrete workability and mechanical properties under different mixing processes. The results show that the cement coating method and the cement paste method have obvious effects on the improvement of concrete workability and compressive strength. The cement mortar method is superior to the common process in terms of mechanical properties, and the workability is not much different.
Plastic damage and deformation defect of friction stir welding for aluminum alloy
Authors: Luo Chuanhong , Zhang Jianqiang , Wen Jungang 
Published: August 2019

Abstract
2219 aluminum alloy plates were welded by friction stir welding, which was a solid bonding technology to solve the traditional problems for aluminium alloy welding. The morphology, microstructure and mechanical properties of the joint were investigated. Through analyzing the flowing pattern of the plastically deformed metal in the nugget zone, the strength weakening of the joint were analyzed and summarized. The reason of weakening strength was due to the plastic deformation and damage of the metal, which resulted in the defect formation and the mutational interface. The results show that the well-formed weld beam is similar to the base metal, which has the plastic fracture morphology. However, if there are pores, holes and other welding defects in the weld beam, the fracture morphology is brittle fracture, then the tensile strength is about 70% of base metal and the elongation is about 7%, which means that the advantages of high strength aluminium alloy are not fully utilized.
Prediction of Transition Temperature of Alloy steel Austenite Based on Self-Organizing Neural Network
Authors: Zhao Wenya , Zhang Yinguo 
Published: August 2019

Abstract
In order to determine the key chemical elements of the austenite transformation temperature (Ac1/Ac3) of alloy steel, this paper uses stepwise regression so that the number of neurons in the input layer of Kohonen self-organizing neural network is also determined and the network structure will be optimized. The learning algorithm is improved by combining non-tutor learning and supervised learning. Based on the optimized Kohonen neural network, an Ac1/Ac3 transition temperature predictive model was established. The prediction accuracy of this model which is based on Kohonen self-organizing neural network is higher in tests.The relative error of Ac1 is less than 3.01%, and the relative error of Ac3 is also below3.02%, which is significantly better than the prediction accuracy of stepwise regression. With predicting the critical temperature of Ac1/Ac3 based on Kohonen Network, the actual heating temperature can be determined, which has important practical application value in both steel heat treatment to guarantee quality and shortening the physical experiment period.
CLC number: TP391 Document code: A
Effects of Waste Hybrid Fibers with Different Mixing Ratios on Properties of Recycled Concrete
Authors: Tian Sisi , An Hao , Hu Zhengfu , Pei Changchun 
Published: August 2019

Abstract
In order to improve the performance and application scope of recycled concrete and reduce environmental pollution, fly ash and recycled coarse aggregate of waste concrete were used to replace part of cement and part of natural coarse aggregate respectively, and recycled concrete of base group was mixed. The mixing amount of waste polypropylene fibers and basalt fibers was changed in recycled concrete of base group, and its fluidity and mechanical properties were analyzed. The experimental results show that the mixed fibers have little effect on the fluidity of recycled concrete, but the compressive strength, flexural strength and elastic modulus all decrease. However, they can enhance the splitting tensile strength of recycled concrete, and the strengthening effect is more obvious with the increase of the blending ratio of waste polypropylene fibers.
Polishing behavior of PS/SiO2 Core-Shell nanoparticles with different shell thickness on fused silica Chemical Mechanical Polishing
Authors: Zhang Xin , Pan Guoshun , Wang Weiqi , Guo Dan 
Published: August 2019

Abstract
The core-shell PS/SiO2 composite nanoparticles as abrasives with different shell thickness was researched in fused silica chemical mechanical polishing (CMP) for the first time. The polystyrene nanoparticles were prepared by using emulsifier-free polymerization method first, then the PS/SiO2 with different shell thickness were synthesized by modified Stöber method. The morphologies of PS/SiO2 monodisperse nanospheres were characterized with scanning electron microscopy (SEM). The elastic moduli of single nanoparticle was measured by atomic force microscopy (AFM). The CMP results indicated that the material remove rate (MRR) has been obviously improved with as-prepared nanospheres (21 – 31 nm/min). There was a trend that MRR is rising when the shell thickness is between 200 and 50nm and then falling when the shell thickness is 35nm. Based on the small deformation theory, the finite element analysis was used to simulate the indentation depth and radius of the contact area between the individual particle and the wafer. Then a reasonable explanation for the experimental results was put forward. This research pave a way for realizing the optimization of CMP and material precise removal in the future.
Application of In-beam Activation Analysis in Elemental Distribution Analysis
Authors: Jin Xiangchun , Han Songbai , Chen Dongfeng , He Linfeng , Xiao Caijin , Yao Yonggang , Yun Weixu , Liu Xudong , Tang Chanjuan , Yang Junkai , Wang Pingsheng , Ni Bangfa 
Published: August 2019

Abstract
The analysis of elemental distribution in key parts of samples is of importance in the fields of material science. A non-invasive method utilizing neutrons has been presented. The elemental distribution of materials can be obtained by measuring the gamma spectra with collimated neutron beams using in-beam neutron activation analysis. In order to verify the feasibility of neutron imaging and activation analysis in elemental distribution studies, the experimental model was calculated and verified by Monte Carlo simulations. Using the CARR reactor neutron imaging and activation analysis system, the elemental distribution experiment of the flat sample was carried out. The neutron radiography results of the flat sample and the gamma spectrum of each measurement area were analyzed. The distribution of In, Gd, Eu, Au, and B were in good agreement with the sample. Neutron radiography and in-beam activation analysis were effective tools for conducting elemental distribution studies.
Research on the discovery of opinion leaders in social networks
Authors: Zhou Chufeng , Guan Xinxin , Li Yeli , Zeng Qingtao 
Published: August 2019

Abstract
Since entering the era of Wed 2.0, social networks have been an indispensable part of human life. At present, these social networks are the main source of information dissemination and alienation, and they play a key role in the process of dissemination and are the central users of social networks. Central users have an incredible ability to communicate in their community, and their knowledge and experience of things have a great impact on other users in the community. This research mainly uses the analysis method of social network to analyze the community and find the central users in the community. We use Louvain algorithm to identify the community structure in social networks, and on this basis we use PageRank algorithm to analyze the central users in each community.
Research based on big data analysis of medical industry
Authors: chen lijun , lin Jiaying , yi Zhang 
Published: August 2019

Abstract
In recent decades, institutions in every country and every place have produced a large amount of structured, unstructured and semi-structured data with different (heterogeneous) structures. The healthcare sector faces the need to manage big data from a variety of sources known for generating large amounts of heterogeneous data. In the medical and health industry, various big data analysis tools and technologies have been developed to deal with these massive data. In this article, we will discuss the impact of big data on healthcare and health, as well as the various big data processing tools available in the Hadoop system. We also explored the conceptual architecture of medical big data analysis, including data collection histories from different branches, genomic databases, electronic health records, text/image, and clinical decision support systems.
The Research of Reliability of CX-1B-5 Connectors Coupling in AIT process of spacecraft
Authors: Zhang Wei , Wang Dongmei , Zhao Peirong , Xie Xilong , Zuo Na 
Published: August 2019

Abstract
This paper reviews the applications of CX-1B-5 connectors in assembly and integration process of spacecraft. Wire breakage near the solder joint is the common phenomenon of the connection failure, through fracture morphology and fault tree analysis, tensile force after repeated bending which is a key factor leads to the fatigue fracture. Because the bending of the wire at the root of the solder joint is unavoidable, wire insulation thickening method and anti-wicking tools are used to improve the reliability of CX-1B-5 connectors coupling, with the test showing the bending fatigue resistance improved by 110% by using anti-wicking tools.
An overview of profiling side channel analysis based on machine learning
Authors: Song Shijie , Chen Kaiyan , Ma Jiawei 
Published: August 2019

Abstract
It has made a real issue in cryptographic security with the widespread use of them which attracts more attention now. This paper summarizes the most distinguishing profiling type attack in the side channel of cryptographic chips.The principle steps of the traditional profiling side channel analysis are introduced firstly,then the exposed problems are directed in discussion.It fits well to solve the problems using the algorithm in machine learning. So what undoubtedly added in is that the profiling side channel analysis is based on machine learning. Also the situation and the progress are both the significance in the paper.The disadvantages and the future of its development are mentioned at the end.
Experimental study on the damage law of the shape of the tool nose by the times and duration of micro-discharge
Authors: Yang Yichong , Jin Xin , Zhang Zhijing , Zheng Zhongpeng , Liu Yuzhu 
Published: August 2019

Abstract
The micro-discharge tool setting method is to apply a certain voltage between the tool and the tool set. When the distance between the tool and the tool set is less than the discharge gap, the medium between the tool and the tool set discharges and the voltage decreases, monitoring the voltage signal and recording the machine coordinates when the voltage changes times to complete the tool setting process. In this paper, the influence of the times and duration of the discharge on the tool clearance and the shape of the tool nose during the micro-discharge tool setting process is studied. The research shows that the tool clearance is related to the discharge duration. When the duration of the discharge is less than 4s, the tool clearance becomes smaller with the increase of the times of tool setting process, and the governing tool nose damage is breakage by the discharge current impact. When the discharge duration is greater than or equal to 4s, the tool clearance becomes larger as the number of times of tool setting process increases. The burr that grows at the nose of the tool changes the nose shape. The above research provides support for the subsequent micro-discharge tool setting tool to achieve high-precision non-destructive tool setting process and optimize tool setting parameters.
Contrastive Analysis of Two Connection Modes of Enclosure Wallboards and Steel Frames
Authors: Zhang Hua , Li jianwen , dong zhimin 
Published: August 2019

Abstract
According to the application status of the connection between enclosure wallboards and steel frames in the cold area, a new type of connection mode is designed in this paper. The seismic performance indexes of the two connections such as bearing capacity, energy dissipation and ductility, etc. are obtained through the experimental study of the reduced-scale specimens. Both connection modes can meet the local seismic fortification requirements, but the new connection mode has more advantages than the original connection in many aspects.
Sensorless Control for PMSM Based on Multi-Innovation Two-Stage Extended Kalman Filter Algorithm
Authors: Wu Fei 
Published: August 2019

Abstract
Permanent magnet synchronous motors (PMSM) have been widely used in robotics, CNC machine tools, and aerospace, aerospace and marine fields due to its small size, high efficiency and high power density, and good operating performance. With the development of sensorless control technology, sensorless control has been widely used in many special areas. This paper is aiming at the sensorless control of permanent magnet synchronous motor, the sensorless control system of permanent magnet synchronous motor based on Multi-innovation Two-Stage Extended Kalman Filter (MI-TSEKF) algorithm is studied and implemented.
Spatial non-stationarity and heterogeneity of metropolitan housing prices: the case of Guangzhou, China
Authors: Chen Shaopei , Fang Ming , Zhuang Dachang 
Published: August 2019

AbstractTaking a case study of the city of Guangzhou, this paper applies sophisticated approaches, including spatial autocorrelation analysis models, traditional regression models and Geographically Weighted Regressing (GWR) model to analyse and discuss the spatial non-stationarity and heterogeneity characteristics of housing prices, in term of the data of the average annual housing prices of each sub-district/town from 2009 to 2015. In this study, four types of influence factors, i.e., location condition (distance to central business district (CBD)), traffic access level, commercial service facility and public service facility are selected. As results, the spatial-temporal evolution characteristic of the housing prices in Guangzhou is closely related to the layout and development of the urban areas. Furthermore, among the selected factors, location condition is the most important factors affecting the housing prices, followed by commercial service facility, traffic access level and public service facility. Specifically, based on the GWR model analysis, the spatial patterns of the regression coefficients of location condition and the public service facility illustrate “east strong and west weak” of the housing prices in Guangzhou. By contraries, “west strong and east weak” of housing prices according to the traffic access level and commercial service facility. The overall pattern of spatial non-stationarity and heterogeneity of housing prices presents the circle structure characteristics with the centre of the CBD in Guangzhou.
Emotional analysis System of book review based on Neural network
Authors: Sun Yanxiong , Li Yeli , Zeng Qingtao , Bian Yuning 
Published: August 2019

Abstract
Contemporary society, is an era of the Information explosion. The explosive growth of book publishing makes readers choose a good book, and publishers choose to publish a book with a market, which has become a very important topic. Aiming at the non-effective analysis of the current book publishers to obtain the real feelings of the users on the book, this paper puts forward that the neural network as the main algorithm is enough to classify the user’s comments emotionally. In the collection of data, through the award-winning books and the two-star score under the book review, take different weights of the calculation, the emotional words of the eigenvectors to plump. And after the book evaluation is pre-processed, the user’s credibility parameters are added to the input word vector. As a result, the accuracy of classification and judgment of the whole system is improved, the consumption of human, material and financial resources is reduced, and the resource can be invested in how to improve the level of publications, which will add to the cause of book publishing in China.
Three-dimensional landscape modeling of Quancheng Square in Jinan city
Authors: Qian S J , Chang Z Q , Liu X M , Wang Y Q 
Published: August 2019

Abstract
Nowadays, with the booming of tourism industry and the rapid development of modern urban construction, two-dimensional scene expression is quite far from satisfying people’s requirements for travelling, sightseeing, shopping and other aspects. Compared with the two-dimensional scene expression, three-dimensional scene expression can provide people with more realistic scenes display and more quality services. Therefore, we carried out three-dimensional landscape belt modeling in Quancheng Square for delivering people more vivid scenery and more details of the sights of Quancheng Square. The modeling procedure consists of three major parts, including the iconic objects modeling by SketchUp, the entire three-dimensional scene modeling and three-dimensional spatial analysis by Skyline. People can clearly learn about the landscape of Quancheng Square through the 3D models and obtain more travelling information of the landscape. Thus, it has been widely applied in many fields, such as virtual tourism, tourism resources management, urban planning and the study of dynamic changes in urban environment.
Computer simulation of crossing line based geometric illusions
Authors: Dai Lingchen , Yu Jinhui 
Published: August 2019

Abstract
Computer modelling of visual illusions may offer useful insights into visual illusions from different perspectives. Focusing on crossing line based geometric illusions where target lines illusorily change their shapes under the influence of context elements, we show that, by taking into account the crossing angles between target and context lines and the distance between intersection points along the target lines, it is possible to simulate some typical crossing line based geometric illusions with a simple model. Compared with a recent work which requires the context lines to be differential, our model eliminates this restriction so that it is applicable to simulating many more crossing line based geometric illusions.
Face Recognition Based on Joint Sparse Representation of Multiple Features for Public Safety
Authors: Wei Li , Yongbin Zhao , Jieping Han , Zhiru Zhang , Hai Yu 
Published: August 2019

Abstract
A face recognition method based on joint sparse representation of multiple features is proposed in this paper. First, principle component analysis (PCA), kernel PCA (KPCA), and non-negative matrix factorization (NMF) are used to extract feature vectors of face images. The three features could provide complementary descriptions for face images. Then, in the classification stage, joint sparse representation is employed to classify the three features thus considering their correlations. Finally, the total reconstruction errors of the three features on different kinds of training classes are calculated to determine the label of test sample. Experiments are conducted on AR and Yale-B databases to validate the effectiveness of the proposed method.