bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Realization of Web - Based Tourism Service Platform
Authors: Ke Ma , Wu Lei
Published: March 2020

The rapid development of the Internet and other new technologies has obviously caused a fatal blow to the traditional tourism model, the original tourism model and service platform can no longer attract the attention of the customers without active transformation. On the other hand, new tourism service platforms such as Meituan, ctrip and tuniu, which mainly rely on new Internet technologies, are developing rapidly. Against this background, more and more Internet technologies favor APP development software focusing on individual consumers, while web-based travel service platforms are increasingly weak. The main purpose of this paper is to develop a web-based tourism service platform to meet the consumption and interaction needs of a larger consumer group. In terms of methods, this article selects the Mysql as the database storage platform, graphical interface with Myeclipse as development tools, the construction of the site focus on combining Hibernate + Spring + Struts assembly technology, in terms of the choice of architectural patterns, in this paper, using the MVC pattern is more convenience, Tomcat6.0 version, server mode is used in order to ease the pressure on the server. The experimental results show that the tourism service platform designed in this paper has strong operability and convenience, which greatly improves the efficiency of tourism information transmission, saves the cost of publicity and improves the work efficiency.
Monitoring and Evaluation of Marine Economic Operation in the Information Environment
Authors: Liang Yinuo
Published: March 2020

In recent years, with the continuous progress of science and technology, the available space in the ocean has become more and more extensive. The rapid development of the marine economy has also directly driven China’s economic development, and has made great contributions to the growth of China’s GDP. The exploitation of natural gas, natural gas and other resources has greatly increased China’s non-renewable resource reserves, and has made great contributions to China’s resource problems. However, it is difficult to process the monitoring data of the marine economic operation so that good resource utilization cannot be achieved, which has become a difficult problem in China and a major social problem. The purpose of this article is to study the monitoring and evaluation of marine economic operations in an information environment. This paper combines information technology to study the problems encountered in the monitoring and evaluation of marine economic operations and analyzes the marine related industrial structure, thereby reflecting the advantages of monitoring and evaluating marine economic operations in an information environment compared to previous advantages, reducing The storage is not complete, the huge data is difficult to mine and the impact of the timeliness of the data. Fully share the marine economic monitoring operation data in various regions to facilitate the monitoring and evaluation of the marine economy, so as to maximize resource utilization and benefits. The experimental results show that information technology can solve the difficult problem of marine economic operation monitoring data collection, processing, analysis and evaluation, and realize data sharing in various regions, so as to achieve accurate evaluation of marine economic operation.
Application of Computer Information Technology in the Reform of Law Classroom Teaching Method
Authors: Chen Sisi
Published: March 2020

In the context of the Internet, various information transmission methods are more convenient. The network is open and can share resources. Therefore, “Internet +” provides a new way of teaching in the field of education. In the process of law education in colleges and universities, teachers should make full use of the Internet to create a variety of teaching methods for students. Efficient use of information technology to promote continuous innovation and change in higher education models, creating a network and digital higher education system, laying the foundation for a harmonious society of learning at any time, anywhere, and everyone, and training innovative talent. The purpose of this article is to explore its application in the reform of law classroom teaching methods through computer information technology. This article establishes a legal resource database, creates a virtual legal classroom, and makes an electronic bulletin board to propose changes to legal education. It is concluded through experiments that under the teaching method of computer technology, students have improved significantly in all aspects of law. Under the traditional teaching method, students have only improved a small part in law study, and even declined in some aspects. Compared with traditional teaching methods, the effect of teaching methods under computer technology is relatively significant. In the former, it improved by 4.09 points on average, but the latter regressed by 4.02 points, and the former communicated a lot more than the latter. In terms of homework assignment, the latter overtimed about three times.
Application of Big Data Computing Model Based on Semantic Data Analysis Technology
Authors: Fan Ganglong , Shen Jian
Published: March 2020

Big data computing model refers to various high-level abstract models extracted and established from the diverse big data computing problems and requirements according to big data‘s different data characteristics and computational characteristics. In order to improve the data quality, a method of adding semantics to the data is proposed to help users identify big data’s pattern. In this way, we can make use of the semantic value of the data, detect big data, and propose a big data computing model through the semantic analysis of the data. The paper presents research on big data computing model based on semantic data analysis technology.
Strategies to Assess the Analog Circuit Performance of Multicore Adaptive Iterative LSSVR
Authors: Cheng Hui
Published: March 2020

In order to obtain accurate and fast fault information from circuit vibration signals, a method of extracting fault functions based on degradation conditions under limited and improved bandwidth experimental conditions is proposed. The fault analysis of the circuit fault is carried out through the multi-carrier conveyor relationship.
Application of Artificial Intelligence Technology in Mechanical and Electronic Pump System
Authors: Jiao Yanmei
Published: March 2020

With the rapid development of modern science and technology today, a variety of emerging technologies representing advanced productivity can not only greatly improve the effect of equipment automation, but also promote the overall quality and level of manufacturing equipment, and even to the greatest extent to avoid the occurrence of safety accidents caused by human factors. Recently, in the mechatronic pump industry has emerged with the development of artificial intelligence technology color, the complexity of its internal structure and the precision of electronic control system has even reached a jaw-dropping degree. Artificial intelligence technology involves a wide range of knowledge, and has a very high degree of complexity and technology, the use of mechanical and electronic industry will certainly promote the whole industry to a higher stage of development. It can be expected that if ai technology can be applied continuously and stably in the mech industry, then the integrated drive system is expected to achieve the goal of high turnover and low cost, and will achieve value compensation in terms of economy and efficiency by improving operation characteristics and saving energy.
Intelligent Selection Recommendation Algorithm in the “Double” Mechanism
Authors: Tang Chunhua , Chi Xiaoli , Tang Jinjun
Published: March 2020

Aiming at the phenomenon of blind selection during the course selection of college students under the credit system, the paper puts forward the most preferred course selection recommendation algorithm and the recommended course selection algorithm based on comprehensive evaluation of curriculum. The most preferred course selection recommendation algorithm uses 0-1 integer programming model to give the minimal courses and the maximum credits; the comprehensive evaluation of curriculum based on considering the students’ learning ability and learning interest gives he curriculum evaluation coefficient, students according to the curriculum evaluation coefficient can objectively and accurately select elective courses for their own development ability. These two elective courses conform to the actual situation of students’ elective courses, and can effectively guide students to select courses.
Optimization Method of Node Location Accuracy Based on Artificial Intelligence Technology
Authors: Wang Shiyao , Zhang Jianfeng , Liu Hongshuo
Published: March 2020

Wireless sensor networks(WSN) are one of the hot topics in current information technology research. With the diversification of wireless sensor network applications and the gradual maturity of node positioning technology for static networks, mobile node positioning technology. In order to find a method for optimizing the positioning accuracy of wireless network nodes based on artificial intelligence technology and improve the positioning accuracy, a large-scale simulation experiment is performed in this paper. After constructing a probabilistic model and conducting a large number of simulation experiments, a series of random variable samples are obtained. After statistical processing of these simulation samples, a solution to the problem is found accordingly. By comparing the average positioning error with the ML algorithm, it is found that the SA-L algorithm using artificial intelligence method has less dependence on the density of beacon nodes, improves the accuracy of network node positioning, and is more suitable for node positioning of WSN. Research shows that artificial intelligence technology can improve the accuracy of network node positioning and provide a lot of reference for the development of wireless networks.
Application of Artificial Intelligence Technology in Security Defense of Cyberspace
Authors: Huang Limin
Published: March 2020

In the process of its development and application, the computer network has created the virtual network space, and as the relationship with the computer network is becoming more and more close, the improvement of the security defense of cyberspace ability is becoming more and more urgent. The use of artificial intelligence technology in cyberspace security defense can not only accept and process a large number of Internet information quickly and efficiently, but also improve the security defense of cyberspace and prevent the infringement of illegal elements, which is a matter of great concern to every user. Based on the analysis of the characteristics of cyberspace security defense and artificial intelligence technology, this paper discusses the application of artificial intelligence technology in cyberspace security defense with examples.
Design of Remote Control System for Household Appliances based on Single Chip Microcomputer
Authors: Huo Haibo
Published: March 2020

With the development of society, people have higher and higher requirements for the convenience of life. Therefore, it is of great practical significance to study the remote control system of household appliances based on single chip microcomputer. This paper first introduces the common scheme of remote control technology of home appliances, then analyses the module of remote control system of home appliances based on single chip microcomputer, and finally gives the design scheme of remote control system of home appliances based on single chip microcomputer.
Use of Smart Phone Sports APP in College Sports Education under Information Background
Authors: Wang Dongsheng
Published: March 2020

With the continuous evolution of information technology, China has entered the information age, the use and promotion of smart phone is the inevitable trend of information evolution, but also an important sign of the information era. With large quantities of uses of smart phones, a large number of mobile apps have appeared, and different APP types have emerged. Currently, mobile apps have been applied in various fields, and gradually promoted to the field of sports education(SE), and various sports apps have emerged. The purpose of this paper is to chase down the problems existing in the use of sports APP in college SE by studying the use of smart phone sports APP in college SE under the background of informatization, so as to achieve the deep fusion of sports APP and college SE, and continuously promote the quality of SE. Firstly, this paper gives an overview of sports APP and college SE, and carries out use experiments of sports APP on the basis of information intelligence algorithm, analyzes the use situation of sports APP in college SE, and puts forward relevant use strategies on this basis. The experimental results show that the use of sports APP in college SE promotes teaching efficiency, but there are some problems at the same time, which must be paid enough attention.
Application of Human-Computer Interaction Technology in Laparoscopic Surgery
Authors: Liu Shi , Li Tingting
Published: March 2020

With the advancement of computer technology, virtual laparoscopic surgery has also developed rapidly on this basis. Following satisfactory clinical results achieved by 3D visualization technology, 3D printing technology, and mixed reality technology, human-computer interaction technology in virtual environments has real-time interaction. The advantages such as performance and real-time dynamic visualization have gradually entered everyone’s field of vision, and have gradually been used in many medical fields. At present, human-computer interaction technology in virtual environment has been widely used in laparoscopic surgery training at home and abroad.
An Online College Student Art Exhibition App Based on Virtual Reality Technology
Authors: Qiu Yahui , Xiao Yao , Jiang Tao
Published: March 2020

In recent years, with the rapid development of computer technology, virtual reality products showing a flourishing trend. It brings people into an immersive, interactive virtual reality world, we will apply it to the desig of students’s art exhibition App. Art college students will create many valuable works of art. Under the situation of the country’s vigorous promotion of innovation and entrepreneurship, we design a VR art exhibition marketing app to promote and sell students’ excellent art works through online display, which can motivate students to create and collaborate independently, improve their professional skills, and enable They engage with society as early as possible to increase employment. The online exhibition sales app for college students’ art uses network technology to show the functions of the real exhibition hall in the form of digital virtual reality. It uses the information structure of the Internet, and combines the work and business of traditional physical exhibition halls with marketing activities on the Internet to build the information exchange bridge required by exhibition halls. This app uses Unity 3D technology in conjunction with HTC Vive devices to design and implement a virtual pavilion. The model was created using 3DS MAX software, the material texture was drawn using Substance Painter software, and the interface UI was produced using Adobe Photoshop software to ensure a high degree of simulation of the virtual pavilion[1].
Construction of Emergency Dispatching System under the Background of Smart City with Big Data
Authors: Zhang Yu-Lin , Zhang Nai-Ping
Published: March 2020

With the continuous development of global technology, the number of smart cities is also increasing. The development of these cities is also accompanied by constant emergencies. Big data technology provides us with a way to optimize the city’s emergency dispatch system. In the context of smart city, it has become a trend to combine big data technology to construct emergency dispatching system. The key points of this article are the interrelation of emergency call areas and coordinated dispatch between smart cities. This paper studies possible games between different cities and proposes optimization methods. According to the processing process of material demand information flow, an emergency dispatching system framework of four parts, namely the requirements layer, the information layer, the session layer and the send layer, is constructed to provide reference for the practice of emergency management.
A fingerprinting Algorithm Based on Artificial Intelligence Genetic Algorithm
Authors: Wang Yong , Zhang Shaojun , Wang Ming-yu , Xiong Guangyou
Published: March 2020

Oil spill identification is an important means of investigation of oil spill through analysis and comparison of suspicious oil spill source. This paper proposed a GC/MS fingerprint fitting method based on genetic algorithm (GA) to identify the source of oil spill. In this method, dominant characteristic peaks were selected from the 3d fingerprint of the standard and stored in the prevailing characteristic fingerprint database (dominant database). Recessive characteristic peaks were screened out from the periphery of the dominant characteristic peaks of the sample and stored in the recessive characteristic fingerprint database (recessive database). Then a set of characteristic peaks was selected from the dominant library by GA to correct the characteristic peaks in the samples and automatically identify the similarity between the standard and the samples. Simulation calculation compared with experimental analysis results showed that the method to build a detailed identification of oil spill fingerprint was accurate and reliable. The method to identify the fingerprint peak can be clearly and accurately reflect the properties of the sample, which can be used for rapid automatic calculation of chromatographic fingerprint similarity, so as to strengthen sea spill accident discriminant scientific theory in identification, traceability and the application of legal liability.
Information Data in Geological Informatization Based on Cloud Computing
Authors: Li Yuanyuan
Published: March 2020

In recent years, China’s earthquakes have occurred frequently, and various problems have occurred in many coal mining areas. Geological information is informatized, which helps geological researchers to study information data, analyze the geological situation, and make corresponding countermeasures. The extensive application of information technology in geological surveys will greatly improve the modernization level of geological surveys. At present, the geological survey informationization work has entered the era of big data. How to break the limitation of independent management of the geological survey database and effectively integrate and share the massive geological survey data that has been accumulated, now it has become an ardent concern and urgent for geological survey informationization workers. Hope to solve the problem. The emergence and maturity of cloud computing technology provides a feasible solution to this problem. The research purpose of this paper is based on the research of information data in geological informationization of cloud computing. This article starts with geological information data, analyzes the characteristics of geological data, explains the necessity of geological informationization, builds a cloud computing information management platform, Geological information is realized in the function, and the research and analysis of the geological information data are performed. After simulation experiments, the cloud computing geological information platform built in this paper has high accuracy, and the error is not more than 5%, which verifies the feasibility of the platform.
RETRACTED: Song recognition in music library based on cloud computing
Authors: Du Lei
Published: March 2020

There are many types of music, and due to the increase of music creators and the development of the Internet, there have been a large number of music. Identifying songs in the music library is conducive to the management and operation of songs, and helps listeners to choose their favorite music. Aiming at this problem, this paper proposes a song recognition method in a music library based on cloud computing. This paper first analyzes the advantages of cloud computing technology, and then proposes a song feature recognition method. Based on the similarity matrix of musical notes, a criterion for selecting note features is given to identify songs in a music library. Finally, the song feature recognition method is combined with cloud computing technology for song recognition. Experiments show that compared with the musical note recognition method with feature weights and the musical note recognition method based on invariant feature extraction of musical notes, the song recognition method in the cloud-based music library proposed in this paper has higher recognition accuracy and faster recognition speed.
Gas Data Prediction Based on LSTM Neural Network
Authors: Li Danhui , Zhang Yingjun , Gong Dali , Pan Lihu , Zhao Yajuan
Published: March 2020

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

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

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

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.
Placement Algorithm in Virtual Machine Scheduling Based on Cloud Computing
Authors: Lu Jun
Published: March 2020

This paper mainly proposes a virtual machine placement algorithm, which uses the principle of graph segmentation. This algorithm can reduce the energy consumption of cloud services, Experimental simulation shows that compared with MBFD and TAVMP algorithm, this algorithm has a significant improvement in cup utilization, device energy consumption and SLA violation rate.
Numerical Simulation of Flow Around a Cylinder based on Fluent
Authors: Chen Donghai , Pan Ying , Liu Yibo
Published: March 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Wear behavior of TC4 titanium alloy and 2205 stainless steel friction pair in different media
Authors: Wang C P , Wu X B , Xiao Y X , Song D W , Wang H Z , Wang S H
Published: March 2020

In order to choose the material of high-pressure pump in seawater desalination, the friction pair of TC4 titanium alloy and 2205 duplex stainless steel was studied in detail. Friction and wear tests were carried out under dry friction, pure water, and seawater media. The friction coefficient and wear extent of friction pair were obtained quantitatively, and the surface topography of friction samples was analyzed. The results showed that the abrasion of 2205 stainless steel and TC4 titanium alloy in seawater was less than in pure water and air/dry friction due to the lubrication effect of seawater medium. The abrasion resistance of 2205 stainless steel was better than that of TC4 titanium alloy. Compared with the rotating speed, the load has little effect on the friction coefficient.
Effect of carbon source on the synthesis of ZrB2–SiC composite powders
Authors: Lian X Q , Hua X H , Wang X G , Deng L R , Zhang L
Published: March 2020

This study is aimed to synthesize ZrB2–SiC composite powders by boro-carbothermal reduction of zircon using two different carbon sources, namely expanded graphite and carbon black. The effect of carbon sources on the phase composition and microstructure of composite powders was studied using an X-ray diffractometer, a scanning electron microscope, and an energy spectrum analyzer. Pure-phase ZrB2–SiC composite powders were prepared in 2 h at 1550 and 1500 °C 1500 °C using expanded graphite and carbon black, respectively. In the former case, anisotropic ZrB2–SiC composite powders were synthesized. Their ZrB2phase grains had an average diameter of 2.0 μm and regular hexagonal shape, while SiC phase grains were whisker-shaped, had an average diameter of 0.15 μm and aspect ratio exceeding 20. For carbon black, finer ZrB2grains and shorter rod-shaped SiC grains were obtained.
Hot deformation behavior and processing map of Mg-12Gd-1MM-0.6Zr magnesium alloy
Authors: Li B B , Shi G L , Zhang K , Wang K K , Li X G , Li Y J , Ma M L , Yuan J W
Published: March 2020

The hot deformation behavior of Mg-12Gd-1MM-0.6Zr (wt.%) magnesium alloy was tested by Gleeble-1500D hot simulator with reduction of 60% and strain rates from 0.001 to 1 s−1 at the temperature range from 753 to 793 K. The results show that the flow stress is influenced by both, temperatures and strain rates. At constant temperatures, flow stress is increased with strain rate, while at constant strain rates, it decreased with temperature. The constitutive equation of Mg-12Gd-1MM-0.6Zr alloy during hot compression was constructed by the linear regression analysis. Average activation energy and stress exponent were 227.94 kJ/mol and 2.87, respectively. The processing map was plotted and analyzed via the dynamic material model. The most proper ranges for hot deformation temperature and strain rate were found to be 763 to 783 K and 0.01 to 0.1 s−1, respectively.