bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Prefabricated Structure Design Method Based on BIM Technology
Authors: Ma Cong , Wang Yu , Xu Haiqing 
Published: March 2020

Abstract
In recent years, with the rapid development of computer technology and continuous technological progress, it has been widely used in various industries. In the field of construction, the state advocates the development of industrialized construction and vigorously promotes prefabricated buildings. BIM (Building Information Modeling) technology is integrated into advanced computer technology. With its powerful information management and interaction capabilities, the application of prefabricated building structure design has received increasing attention. The article expounds the application and development of new prefabricated buildings and BIM technology, proposes the application of BIM technology to prefabricated building structure design methods, and analyzes the theoretical basis and main technologies that can implement the method in detail. In the end, it has prospects for its development and application in the construction industrialization.
Application of Chaos Theory in Image Encryption
Authors: Wei Yanhong 
Published: March 2020

Abstract
In order to protect the digital image, people have come up with many methods, digital image encryption is one of the most important means. Based on the features of chaotic mapping and the strong correlation between adjacent pixels of images, an image encryption algorithm inspired by chaos theory is proposed. In the specific operation process, chaotic mapping is used to perform chaotic encryption on the displaced image using. The image encryption algorithm is easy to operate, safe and stable, and has been confirmed by many successful examples.
Analysis of Coalbed Methane Reservoir Properties Based on Grey Correlation Prediction
Authors: Wu Jianjun , Meng Lingpeng , Li Bing , Chen Xiaoya , Lu Han 
Published: March 2020

Abstract
According to the grey system theory, this paper selects some logging parameters that are sensitive to the fluid properties of coalbed methane reservoirs, predicts the fluid properties of unknown coalbed methane reservoirs by using grey correlation analysis method, determines the correlation factor and correlation degree between the evaluation index of fluid properties of coalbed methane reservoirs and actual data, and quantitatively describes the categories of unknown fluid properties according to the correlation degree. By analyzing various logging data and comparing the identification result with the gas test conclusion, the accuracy rate is as high as 95%, which can accurately judge the gas-bearing property of the reservoir. This shows that the grey correlation prediction is feasible, with high accuracy and ideal effect.
RETRACTED: Accounting Information Revolution Based on Cloud Computing Technology
Authors: Xu Dong 
Published: March 2020

Abstract
China‘s information technology has been rapid development, cloud computing technology has been widely used in many fields. The informatization level of accounting major is one of the important factors influencing the development of enterprises. There are some problems in the traditional way of accounting work, such as low efficiency, data error and so on. Based on this, this paper puts forward the research of accounting information transformation based on cloud computing technology. This paper first analyzes the existing problems in the development of accounting informatization, and further expounds the advantages of cloud computing technology in the construction of accounting informatization, and then puts forward the transformation scheme of accounting informatization based on cloud computing technology. The results show that the scheme proposed in this paper is helpful to enhance the development strength of the company, and is widely praised by the accountants.
Computer-Aided Design is a New Manifestation of Color Composition
Authors: Zhang Dongmei 
Published: March 2020

AbstractThe color composition is a designer to design must pay attention to the problem, the traditional color composition mainly through the form of printing, this way due to backward technology, appear very big error, often makes the constitute of the color affect the accurate color performance, thereby affect the colour of the designer cognition and learning. With the rapid development of information technology in China, computer-aided design emerges as The Times demand, and is gradually applied to the parts related to color composition. The purpose of this paper is to make an in-depth study of the new manifestation of color composition in computer-aided design, to help designers establish a new cognition of color composition, and to promote the further development of design work. Firstly, this paper gives an overview of the computer-aided design and color composition of computer aided design. With the help of color reduction algorithm, experiments on the color composition of computer aided design are carried out. Through the analysis of the experimental results, several new manifestations of the color composition of computer aided design are obtained. The experimental results show that computer aided design (cad) gives a new expression to color composition.
Improvement on the Representation and Fusion Method of Fragmented Knowledge Structure
Authors: Jia Lili , Yang Jinhua 
Published: March 2020

Abstract
With the rapid development of Internet, cloud computing, Internet of things and other new technologies, information is growing exponentially, and human society has entered a new stage of fragmented knowledge. Fragmentation is flexible, random, and contains rich information, but fragmented information is fragmented, disordered, incomplete, large in size and fast in updating, so it is difficult to form effective knowledge. To resolve the problem of extracting and mining fragmented knowledge, firstly, this paper studies the fragmented knowledge map and he integration method of fragmented knowledge. secondly, we study the integration method of fragmented knowledge, from the aspects of incomplete and redundant fragmented information; Finally, we put forward several points of fragmented knowledge processing methods Key scientific issues and challenges.
Impact of Cloud Computing on Agricultural Product E-commerce
Authors: Zhang Chengwei , Rao Weiqi 
Published: March 2020

Abstract
With the development of technology, all parts of the world have gradually entered the 5G era. The advent of the 5G era enables “cloud computing” to complete the processing of tens of thousands of data in a short period of time, helping users to perform data mining and achieve powerful network services. In order to solve the current problems of agricultural product supply, marketing and logistics in China. This paper uses the literature survey method and data analysis to analyze the role of cloud computing technology in data mining. And apply this technology to e-commerce platforms. The application of this technology to e-commerce platforms can promote the development of agricultural e-commerce. It can be seen that under the influence of cloud computing technology, agricultural e-commerce is about to enter a new era.
Application of Cloud Teaching in Higher Vocational English Teaching—Take the MosoInk Cloud Class as an Example
Authors: Yang Guolan 
Published: March 2020

Abstract
Big data bring revolutionary changes to education in the Internet +education era. This paper analyzes the current teaching situation of higher vocational English teaching, and proposes Cloud teaching mode based on the MosoInk Cloud Class platform. The teaching practice shows that Cloud teaching mode can stimulate students’ interest in autonomous learning, transform passive learning into active learning, and make teaching fun, simple and efficient, improve the students’ language skills.
Application Research of English Scoring Based on TF-IDF Clustering Algorithm
Authors: Saihanqiqige  
Published: March 2020

Abstract
In recent years, with the promotion and application of artificial intelligence technology in all fields, English has also had a lot of attention and automatic grading areas, but not much in the text of the characterization of breakthrough, the traditional technology based on latent semantic analysis of the text said, more latent semantic analysis technology can extract thematic information, and information is ignored. The purpose of this paper is to better reflect the content of the text, evaluate the English level more accurately, and improve students’ English level better. This paper proposes a text representation method based on word vector clustering and a text representation method based on vector space model. A TF-IDF algorithm based on word vector is proposed. It is verified that the quadratic weighted Kappa value of the prediction results of the multi-model fusion algorithm based on word vector is better than the first place in Kaggle international English composition scoring competition, which verifies the effectiveness of the algorithm.
Railway Safety Vehicle Detection Method Based on Information Technology
Authors: Gao Shuang 
Published: March 2020

Abstract
Safety is the top priority in railway development. At present, the rapid progress of economy and science and technology makes the speed of China’s railway operation and the density of the railway network are increasing, which have a direct impact on China’s railway safety. The research on railway safety detection technology can quickly realize the detection and elimination of related safety hidden dangers and prevent the occurrence of safety accidents, which not only ensures the safety of people’s lives and property, but also is conducive to the establishment of a harmonious and safe railway environment in China and can promote further economic development. The emergence and development of information technology provides a relatively new technical means for railway safety detection, which can realize the rapid progress of detection technology. Based on the information technology and with the help of the security location algorithm, this paper briefly analyzes the problems encountered in railway safety detection, and puts forward the specific components and Suggestions of railway safety technology. On the one hand, it promotes the improvement of railway safety detection technology and ensures the safety of railway operation. On the other hand, it provides a certain theoretical basis for future research.
Key Information Recognition Algorithm for Mobile Network Video Propagation based on Discrete GMM-HMM
Authors: Xu Aixi 
Published: March 2020

Abstract
In view of the problem that mobile network video transmission is prone to traffic congestion, the key information identification is carried out to improve the mobility of mobile network video transmission. A key information recognition method for mobile network video transmission is proposed based on Gaussian Mixture Model (GMM-HMM). The key information after feature separation is input into the neural network classifier to detect and process the key information of mobile network video transmission, and the key information identification of mobile network video transmission is completed. The simulation results show that the proposed method has strong anti-jamming ability, high probability of accurate recognition and good convergence of GMM-HMM Model, which improves the recognition efficiency.
Under the Background of “Internet +” Applied Undergraduate Research of Tourism Management Talents Training--Take Hainan Higher Vocational and Undergraduate Joint Training 4+0 Pilot as an Example
Authors: Du Changchun 
Published: March 2020

Abstract
With the continuous progress of economic level, China’s tourism in recent years has made rapid development. However, with the rapid development of tourism, a series of problems have emerged, among which the most significant one is the imbalance between tourism management talents and tourism development. The current tourism management personnel simply cannot adapt to the needs of the rapid development of tourism. In particular, the rapid development of the Internet has given birth to the “Internet + tourism” model and promoted the reform of the tourism industry. The rapid change of tourism industry means that tourism industry has entered a new period of development, but it also puts forward higher requirements. Tourism management talents are related to the development quality of tourism industry. Under the background of “Internet +”, it has become an urgent problem to study the cultivation of application-oriented undergraduate tourism management professionals. Based on this, this article - to hainan vocational college and undergraduate cultivation 4 + 0 pilot project as an example, the first “Internet +” and “4 + 0” model for the relevant interpretation, on the basis of the information data algorithm and combined with the related experiment, analyzes the current status of tourism management talents cultivation, and puts forward some strategies on the cultivation of the tourism management specialized talented person.
Methods of Teachers’ Personal Privacy Security Protection Based on Big Data Analysis
Authors: Zhang Haichao 
Published: March 2020

AbstractWith the advent of the era of big data, these diverse, maritime and high-speed terminal data will be calculated through cloud-based storage, sharing, and mining of information, cheaply, efficiently, and quickly. The creation and driving of new industries, new products, new services, and big data are constantly emerging, which has profoundly changed people’s daily lives. The value of data in the era of big data is constantly being discovered and developed to provide a convenient and comfortable life. It brings unprecedented challenges to privacy protection. The collection of personal information is throughout life. The preservation of information is vulnerable to online attacks and leads to large-scale disclosure of personal information. During the operation of big data, problems such as illegal collection of privacy information, excessive analysis and illegal transactions occurred, which constantly threatened the stability of personal life and the security of personal property. The purpose of this article is to study teachers’ privacy protection methods based on big data analysis. This paper uses the fusion technology of ORAM and group signatures to study the privacy protection of teachers. It aims to better protect the privacy of teachers in a big data environment. It also provides reference suggestions for other researchers and contributes to the protection of teachers’ privacy.
Group composition analysis of the Shubarkol deposit coal-tar resin fraction
Authors: Smagulova N T , Kairbekov Zh K , Maloletnev A C , Kairbekov A Zh , Zhanabaev D , Kanatkyzy A 
Published: March 2020

Abstract
Coke-chemical resin is used for the production of sulfur-free naphthalene, benzene, and tetralin. In this study, physico-chemical characteristics of the coke-chemical resin and the tar fraction were examined using gas chromatography and mass spectrometry. Three fractions of initial resin were analyzed with boiling point up to 180, 180-230, and 230-280°C. The results showed that the chemical composition of distillate fractions of resin consists of alkyl derivatives and aromatic hydrocarbons with the number of aromatic rings of 1-4.
Compressive behavior of rice straw-reinforced concrete for rigid pavements
Authors: Ahmed T , Farooqi M U , Ali M 
Published: March 2020

Abstract
Micro-shrinkage cracking in concrete is normally observed at early stages. The cracking increases with the passage of time and affects the serviceability. The micro-shrinkage cracking can be avoided if its initiation is controlled by use of fibers. The utilization of natural fibers gains popularity in developing countries, including Pakistan, where vast resources of natural fibers are available as by-products with a low economic use. This paper primarily focuses on the utilization of locally available rice straw in concrete for rigid pavement application. The compressive behavior of rice straw-reinforced concrete (RSRC) is explored as per ASTM standard. The mix proportion of 1:2:4:0.6 (cement, sand, aggregate, and water, respectively by their weight) is considered for plain cement concrete (PCC) which is taken as reference. For RSRC, the length and content of rice straw are 25 mm and 1% (by wet volume weight), respectively. In addition to compressive strength, elastic modulus, absorbed energy, and toughness index of PCC and RSRC are experimentally determined and compared. The modulus of rupture is determined through empirical relation. Rigid pavements for PCC and RSRC are designed and compared using these parameters. The proposed rigid pavement design is discussed in detail.
Analyzing the contact resistance for the penetration brazing of Cu/Ni metal wires
Authors: Gao Y Z , Liu X F , Feng Z G , Tian P F 
Published: March 2020

AbstractThe electrical contact resistance behavior of the interface between the copper electrode and the graphite welding pool plays an important role in penetration brazing of Cu/Ni metal wires. Based on the fractal contact resistance model, the contact resistance between the copper electrode and the graphite welding pool is established by taking the oxide ablation of the graphite surface into account. The influences of the graphite ablation on the contact resistance for different pressure and different graphite materials are experimentally investigated. The ablation phenomenon on the surface of the graphite welding pool is observed during the welding process. It is found that the contact resistance slowly increases as the ablation degree of the graphite welding pool surface increases. The present work shows that the impact of the common graphite ablation on the interface contact resistance is more obvious than that of fine graphite.
The application of a Morlet wavelets bandpass filter in the fault diagnosis of rolling bearings
Authors: Wei R , Ming T F , Xu W , Zhao H 
Published: March 2020

Abstract
An improved demodulation approach is proposed for the construction of a bandpass filter and determination of its parameters. An envelope analysis of the relationship among the central frequency, bandwidth and the system’s damping coefficient was conducted and it was demonstrated that to extract the fault features effectively, the quality factor of the bandpass filter should remain constant and the bandwidth should be determined according to the damping coefficient of the system, the central frequency of the filter, and the fault frequency of the bearing. A combined wavelet bandpass filtering function was constructed based on the Morlet wavelet function. The capture of fault signals from the rolling bearing was optimized in virtue of excellent bandpass filtering properties of the combined wavelet’s better response and the strong sensitivity of the correlated kurtosis to periodic pulse signals. The experimental test data and the simulation results demonstrated that the proposed approach is an effective method for fault diagnosis of rolling bearings.
Investigation on the microstructural evolution and mechanical properties of semi-solid Al-5Zn-3Mg-2Cu alloy based on recrystallization and partial remelting
Authors: Tao J Q , Zhao G Z , Huang Z W , Li M , Xing Z H 
Published: March 2020

Abstract
The present research envisages the investigation of the optimized semi-solid process parameters of the Al-5Zn-3Mg-2Cu alloy. The effects of remelting temperature and holding time on the microstructure and mechanical properties of modified Al-5Zn-3Mg-2Cu alloy were studied by the recrystallization and partial remelting (RAP) process. The results reveal that with an increase in the semi-solid holding temperature, there was an increase in the average grain size of the Al-5Zn-3Mg-2Cu alloy, but when the temperature was increased to 635°C, the grain roundness decreased owing to the grain coalescence and growth. After holding at 635°C for 32 min, the grains were partially transformed into dendrites. Further, with the prolongation of the holding time, the grain size of alloy gradually grew and the roundness increased, and after holding 32 min at 625°C, the grain roundness began to decrease. The optimum semi-solid process parameters were: 615°C × 32 min and 625°C × 16 min. The Al-5Zn-3Mg-2Cu alloy parts were prepared by thixoforming process. Under the conditions of 615°C × 32 min and 625°C × 16 min, the parts were formed completely and the surface of the parts was smooth and clean. Under the condition of holding 32 min at 615°C, the tensile strength and elongation at the break of the parts correspondingly reached 576 MPa and 9.5% respectively, while they reached 589 MPa and 11%, respectively under the condition of holding 16 min at 625°C.
Experimental research on high-speed dry milling performance of large-area nodular cast iron
Authors: Yan P , Wang Y B , Chen K J , Ma B X , Xiao Y L , Wang X B 
Published: March 2020

Abstract
Nodular cast iron was with excellent casting performance, abrasion resistance, strength, and toughness, and successfully applied in large components with high requirements of complex load, strength, etc. While high-efficiency precision machining of large-size plane nodular cast iron was difficult in actual production. In this study, the influence of cutting parameters on cutting performance in the precision milling of large size nodular cast iron was systematically investigated. The spindle peak-power ratio increased linearly as the increase of cutting speed and cutting depth, while it was the lowest at a feed rate of 0.10 mm on account of the minimum cutting depth effect. The surface roughness Ra was decreased linearly as the increase of cutting speed, while the change trend of Ra was not significant as feed rate and cutting depth. As the cutting speed increased, the flaky chips shortened and the helical chip crimped intensity; as the increase of feed rate or longitudinal cutting depth, the length of the foil or ribbon chips increased and the crimp of the helical chip increased. The results could be the guide of the actual machining process of nodular cast iron engine box and cover to improve the machining efficiency and surface quality.
Intermetallic formation and characterization of Sn-Cu-Mn-Ag lead-free soldering alloys
Authors: Padmanaban D A , Sunderraj D A J , Geethan K A V 
Published: March 2020

Abstract
Two lead-free soldering alloys, namely 87Sn-7Cu-3Mn3Ag and 87.5Sn-7.5 Cu-2.5 Mn-2.5 Ag, were prepared and the effect of Mn addition to Sn-Cu-Ag alloys was studied. The alloy was characterized using XRD, DSC, and metallurgical microscopy. Hardness of the former alloy exceeded that of the latter, due to higher intermetallic formation, according to XRD studies. The DSC curves for both alloys have melting points of 219.4 and 219.7°C, with a range of melting close to 10 °C. The microstructure of both alloys contains Cu6Sn5, Ag3Sn, and MnSn2 present in dendritic Sn-rich solid solution.
A study of the fracture behavior of ballistic gelatin based on wire-cutting tests
Authors: Liu L , Fan Y R , Lu Q Q 
Published: March 2020

AbstractThe present study explores fracture properties of ballistic gelatin at different loading rates. Wire-cutting fracture tests were undertaken, and a new analysis method was proposed, in order to delineate the fracture force from the total cutting force. The new method was proved to be effective in obtaining the fracture toughness of ballistic gelatin at different cutting rates. It was found that the fracture toughness of 10% ballistic gelatin at 4°C increases almost linearly from 3.1 N/m at a cracking velocity of 10 mm/min to 19.4 N/m at 200 mm/min.