bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Dust Concentration Control Index during Construction of High Altitude Tunnel
Authors: Zou Zongliang , Hu Xuebing , Nan Langcairen , Chen Jianzhong
Published: March 2020

In view of the high altitude tunnel construction dust serious threat to the health of the construction workers. By investigating the characteristics of high-altitude climate, the influence of climate at different altitudes on blood oxygen saturation and human respiration was analyzed, and the dust concentration control index during the construction period of high-altitude drilling-blasting tunnel was studied. The results show that with the elevation increasing, the dust concentration index correction coefficient decreases and the dust concentration control index decreases. This is due to the gradual decrease of atmospheric pressure, the decrease of oxygen content and partial pressure of oxygen in the air, leading to the decrease of human blood oxygen saturation, the acceleration of human respiratory frequency, and the increase of dust inhalation per unit time. Therefore, it is necessary to reduce the concentration of dust in the construction environment to control the amount of dust inhaled by the human body, so as to ensure the health of the construction personnel.
Study on Fire Smoke Characteristic in Double-tube Road Tunnel with Complementary Ventilation System
Authors: Fang Yonggang , Shen Jian , Chen Jianrong , Wang Jingyu , Li Weiping
Published: March 2020

Complementary ventilation is a new and energy-saving mode put forward recently. In order to address safety concerns under fire situation, the fire simulation software FDS has been adopted to build a tunnel model with two tubes. The fire smoke spread rule, temperature field and visibility distribution in two tubes after fire are analysed. Results show that before closing the air valve in connect duct, a small volume of smoke spreads to the adjacent tube. Judging from temperature and visibility, the influence is limited; after closing the air valve, the adjacent tube is no longer affected by the fire tube. According to the personnel safety standards stated in the PIARC2005 Research Report, the complementary ventilation system can meet the requirements of tunnel safety operation in case of fire. Finally, a wet resonance grille dust removal device is proposed to prevent smoke from flowing into the adjacent tube.
Health Damage Assessment about Construction Noise of Tunnel Adopting Drilling and Blasting Method
Authors: Chen Xiaofeng , Guo Chun , Cheng Jianghao
Published: March 2020

A lot of noise pollution will be produced in the process of tunnel construction, which will seriously damage the workers’ health. In order to reveal the health damage characteristics caused by tunnel construction noise and improve workers’ occupational health level, this paper established an assessment system of health damage caused by tunnel construction adopting Drilling and Blasting Method, including standardization of noise exposure, characterization of health risk and quantification of health damage. During the 5-year tunnel construction, the total DALY of all workers is 4.256 a, and the total damage of drilling is the largest (DALY=1.743 a), followed by shotcrete (DALY=0.646 a), while the pouring lining (PL) is zero due to the slight noise exposure. In addition, except for pouring lining (PL), the per capita damage of shotcrete is the largest (DALY=0.131 a), personal protection needs to be strengthened, and the assembling reinforcement (AR) is the smallest (DALY=0.032 a). This study applied the occupational noise exposure assessment to tunnel engineering for the first time, providing a reference for workers to protect against noise pollution.
Design and construction example of inadequate embedded depth of retaining piles in ventilation tower basement excavation of underwater tunnel
Authors: Linsong Yang
Published: March 2020

The ventilation tower basement excavation of Haicang Tunnel in Huli District of Xiamen City is taken as an example in this article. Owing to design alteration, the analysis of inadequate embedded depth of retaining piles is executed. Result reveals that measures of shotcrete-bolt support system, steal arch system and divisional digging method can successfully ensure the safety of the changed excavation structure. Thoughts and consideration of the calculating method of this design change is described in the end, which may be helpful to familiar constructions.
Construction of Environment Art Design System in Web Mode
Authors: Yao Jinxiu , Xie Mingda
Published: March 2020

With the national emphasis on environmental issues is gradually increasing, more and more experts and scholars on the environmental art design system of more and more research. The requirement of environmental art design system is getting higher and higher. Traditionally, two-dimensional images are used to describe environmental art geography, and the environmental information obtained lacks intuitiveness and interactivity. The purpose of this paper is to realize the social sharing and service of environmental art information so that the public can conveniently enjoy the risk warning service of environmental information. Starting from the framework reconstruction of system construction, this paper takes the Web framework pattern as the basic framework of system realization, and creates different entity models and terrain models in virtual environment through Creator modeling software. After collecting the original environmental data, the edge processing of the environmental data is carried out to produce the 3D environmental design system. In the process of 3D virtual reproduction of the environment, Vega driver software was used to shape the Web 3D scene of the environment, and the Marine environment module in Vega was used to realize dynamic and static environment simulation and simulation effect. The experimental results show that the display effect of the environmental art design system constructed in the Web mode is more realistic, intuitive, interactive and satisfactory.
RETRACTED: Application of Business Management Based on Computer Technology
Authors: Zhang Quan
Published: March 2020

In recent years, science and technology have been developed rapidly. Computer network technology has also presented a rapid development trend, which is gradually popularized in people’s lives. Computer technology has been extensively used in people’s production and lives, with a visible impact on all walks of life. In an administered society, the role of management in enterprises has become increasingly apparent. How to reform and develop business management are questions to be considered. The application of computer network technology has a significant impact on enterprises. To gain a place in international society, enterprises have to consider the influence of computer network technology. In this paper, mainly the characteristics of computer network technology and business management itself are analyzed to understand further the survival status of enterprises and the issues they face in the future, thereby providing guidance for enterprises in their future business management practice.
Fine study on well logging data and reservoir characteristics
Authors: Ling Dong
Published: March 2020

In this paper, the sand group 9 of the second member of Shahejie Formation in the second area of Shengtuo oilfield is taken as the research area. Combined with the geological and development dynamic conditions, the core well analysis and test data, oil test data and production test data are used to fully mine the identification ability of logging data for oil and gas reservoirs, establish the interpretation model of porosity, permeability and saturation in the research area, determine the lower limit standard of effective thickness, and improve the accuracy of reservoir interpretation The accuracy lays a foundation for the remaining oil to tap the potential.
Research on the application of information technology in College Chinese Education
Authors: Sun Hui
Published: March 2020

College Chinese is an important basic course offered by colleges and universities. How to make students of different majors learn this course effectively is a challenge for teachers. This paper expounds how to improve the learning efficiency by innovating the teaching mode, breaking the traditional learning mode and promoting each other under the support of information technology environment. This paper puts forward the teaching mode of students’ autonomous learning, teachers’ guidance and students’ cooperative learning, and cultivates students’ learning ability and innovative spirit.
How to Use Computer Network Technology to Strengthen the Management of Ideological and Political Work
Authors: Hao Yifeng
Published: March 2020

The high-tech, which is led by the computer network technology, has accumulated in many years. It is bursting into a vigorous air, which has injected new blood into the spirit and material of the whole world, bringing about the development of the industry and the development of the integration, and at the same time promoting the no-drop process of some of the traditional industries. The management of ideological and political work is a work that needs long-term persistence, continuous updating of content, form and method. At present, in view of the characteristics of ideological and political work, we have used scientific and technological means such as wireless network, local area network and international Internet to strengthen the management of ideological and political work, and have made success in the application. This paper discusses some views on the use of computer network technology to strengthen the management of ideological and political work in the computer era.
Research on the Design of Research Data Platform based on Big Data of Psychiatry
Authors: Gao Miao
Published: March 2020

Big data of health care is an important basic strategic resource of the country. The application of big data of medicine is of great significance for clinical medicine research, scientific management and the transformation and development of medical service mode. Based on the common data model (conmon data mode1), the data is cleaned, stored and reconstructed, and the clinical data center system is established for clinical and scientific research analysis. Mainly from the system architecture design, key technology, implementation steps to introduce the system design and implementation, and from the safety and reliability of the system design.
English Vocabulary Classification Based on Deep Learning
Authors: Meng Yin
Published: March 2020

A large number of words in the English language are derived from Greek myths, which can be roughly divided into seven categories: basic vocabulary, psychological vocabulary, astronomical vocabulary, geological vocabulary, biological vocabulary, fixed phrases and idioms, modern trademarks and advertising language. Based on deep learning, this paper conducts a classification study of English vocabulary. By introducing Greek myths, we can further master and use English vocabulary and appreciate the charm of English culture more.
The Integration and Application of Animation Script Creation and Modern Concept
Authors: Liu Gang , Zhang Yuqiong
Published: March 2020

Successful animation works of art are closely connected with the script creation in the early stage of production. The purpose of animation script creation is to lay a solid theoretical foundation for animation works of art, and to summarize the basic concepts and skills of animation writers. Through innovative and exploratory research on the integration of animation script creation and modern concept, the cultural connotation and audience popularity of animation works of art can be improved to inject new impetus into animation works of art.
Design Method of Auxiliary Platform for College Physical Education Teaching Based on Campus Network
Authors: Wang Jiong , Wang Ping
Published: March 2020

In the network technology increasingly popular, especially mobile platform technology and Internet of things technology rapid development of modern society, the original information platform has been a huge challenge. Their development also puts forward higher requirements and opportunities for the construction of technical assistance platform in the development of higher education. The purpose of this paper is to model the framework of the auxiliary platform of physical education based on campus network from the perspective of software architecture construction, and to provide methodological guidance for the construction of this kind of auxiliary platform. In order to facilitate the development of physical education teaching platform in higher education, this paper, relying on the campus network, applies the wireless platform and the Internet of things technology, and puts forward the idea of constructing a new auxiliary platform for higher physical education based on campus network, which provides a new model for realizing informatization and modernization of higher physical education teaching. The research structure of this paper shows that, compared with the traditional physical education teaching mode, the method proposed in this paper is oriented to the actual classroom teaching, and technically has the self-name of database and background resources, realizing dynamic framework and real-time data, which is an important innovation to the original teaching platform.
Design of Information Medical Treatment Service Platform
Authors: Wang Mingzhi , Wang Xueyi
Published: March 2020

In the design of information medical treatment service platform, which is patient-centered, information technology is used to connect waiting areas, doctors’ offices, payment collection offices, and medical technology departments. The touch screen and buttons are used to control the device, and it has a voice intercom function, which can conveniently realize the communication between various departments of the hospital. The information is transmitted wirelessly, and the receiving end can convert the information into voice information for convenient operation. It can be connected with a PC to establish a human-computer interaction action information service platform.
Response of Borehole Strain Observation Data to Air Pressure Based on EEMD
Authors: Li Hongwei , Song Meiqin
Published: March 2020

In this paper, based on the empirical mode decomposition (EEMD) method, considering the frequency dependent characteristics of the pressure response, the borehole strain observation data of Daixian station in Shanxi Province and the pressure observation curve of synchronous observation are decomposed, and the eigenmode function (IMF) sequences of different frequency bands are obtained. Then, on the same narrow frequency band of IMF, the one-dimensional regression analysis of borehole strain observation value and pressure change is carried out respectively, and the frequency dependent pressure response coefficient is obtained, which realizes the refined pressure correction of borehole observation data. The results show that this method can effectively deduct the influence of air pressure, and the frequency distribution characteristics of air pressure response are clear.
Evaluation of the Efficiency of Science and Technology Innovation in National Central Cities Based on Patent Analysis
Authors: Tang Yang , Zhu Weijian , Bai Dan
Published: March 2020

The national central city is the “spire city” in China’s urban system planning, which plays an important role in leading regional scientific and technological innovation. In this paper, DEA-Windows model is used to analyze the efficiency of science and technology innovation in 9 National Central Cities in China from 2013 to 2017. The results show that the overall level of science and technology innovation efficiency in national central cities is increasing year by year, but the average value is only 0.7369, and there is still a large space for improvement; in terms of spatial differences, 4 cities, Beijing, Chengdu, Chongqing and Wuhan, had effective status in the calculation period, while the other cities had no effective status, and the efficiency of scientific and technological innovation was also significantly different in 9 cities.
Reasons and Control Strategies of Construction Project over Budget Based on Big Data Analysis
Authors: Jiang Honglie
Published: March 2020

During the construction process of construction projects, the cost budgeting work is an important guarantee for the entire project construction. Due to the influence of the social and economic market and the error problems caused by the related cost staff during the work process, these external factors will affect the construction project. The overall cost budgeting work has had a serious impact. The internal cost of construction projects has received the full attention of the company’s internal management staff. It is mainly aimed at common problems and loopholes in cost work, which is manifested as the phenomenon of over budget in engineering. In this case, serious problems such as out-of-control costs in building construction will also arise, and eventually the overall economic benefits of construction enterprises will decline. Based on the above background, the purpose of this paper is to study the reasons for the over-budgeting of construction costs and their control strategies based on big data analysis. This article mainly addresses the problem that traditional anomaly data detection methods cannot detect anomalous data that is related to the description of the list. This paper proposes to use a list classifier and use the clustering center obtained by K-means clustering as a label. This kind of abnormal data is detected, and the experimental results of the proposed method are compared with traditional methods. Among them, the accuracy of the method of using the list classification method to detect abnormal data of the integrated unit price is 0.9107, while the accuracy of the traditional distance-based method is 0.8304. The experimental results show that the method proposed in this paper using the inventory classification method to detect abnormal data of the integrated unit price is more accurate than the traditional method, and can solve the problem of over-budgeting of construction costs to a certain extent.
RETRACTED: Role of Digital Image Processing in Image Art under the Background of Big Data
Authors: Jiang Nan
Published: March 2020

With the development of society, digital image, the product of the development of digital technology, is more and more used in multimedia image art. With the rapid development of science and technology, in the 21st century, the use of digital image in art works has been very popular, showing a blowout trend. Digital technology is integrated into image art in a way of mutual integration. How to make digital image play a very good auxiliary role in art works? It makes the finishing point, but it doesn’t make the works dazzle and lose one thing or another. The purpose of this paper is to explore the role of digital image processing in the image art under the background of big data, so as to combine the Internet of things application technology and update the existing mode of art performance. In this paper, we will use the research method of specific analysis to compare the data and come to a conclusion. The research results show that image communication plays an important role in promoting the spread of economy, culture and daily life. In the process of image communication, creativity is essential. In the current industrial development, creative industry, as a new industrial form, can organically combine with other industries, and effectively promote the rise and development of other industries.
Privacy Protection Technology in the Age of A.I.
Authors: Chen Zhizong
Published: March 2020

In the era of artificial intelligence, no user has ever disclosed personal privacy data to a certain party. The current AI software can fully integrate the fragment information of a user on different site platforms, and finally complete the portrait of the user. In order to prevent personal privacy leakage under the condition of AI, this paper studies the technology of personal privacy protection from the perspective of social engineering. It is found that by fully splitting the personal account group, i.e. using multiple mobile phone numbers and account binding status, and avoiding the use of the registration free login function, personal information is split into multiple or even more than ten user information by AI. At this time, these information will be discarded by AI due to incomplete information, so as to achieve the effect of protecting personal information.
Prediction of Coal-Bed Methane Production Based on PCA and SVM
Authors: He Dongqin , Zhan Shun , He Pengbo , Lu Han , Chen Xiaoya
Published: March 2020

Accurate prediction of oil production is difficult because there are so many factors affecting production. In this paper, new screening rules are used for principal component analysis and factor screening, the support vector machine is used to complete subsequent learning and prediction work, and Gaussian regression is selected to determine the dividing line of prediction results. The results show that the model is more accurate in predicting Wells with production below 2000 cubic meters, and more accurate in predicting Wells with production above 2000 cubic meters.
Flower “Dock” - Single Chip Microcomputer-Based Smart Flowerpot
Authors: Fan Shengyue , Wang Tiantian , Wang Bo , Zhang Yuting , Cai Yao , Liu Baojun
Published: March 2020

The design of the smart flowerpot is based on STC89C52 single-chip microcomputer, which uses photosensitivity and photoelectricity, that usually used in the environment detection sensor, to perform the real-time monitoring of flower growth, in order to maintain the environmental parameters suitable for flower growth inside the flowerpot, and guarantee a stable and healthy living environment for plants and evaluate the health status. The overall system adopts a modular design, and takes the measurement of soil temperature and humidity sensor module as an example for detailed design. The smart flowerpot has the advantages of simple and stable operation and convenient debugging.
Design Scheme of Network Security based on Compound Policy Analysis
Authors: Zhang Xiaolei , Wang Bin
Published: March 2020

Network security refers to the protection of the hardware, software and data of the network system caused by accidental or malicious reasons caused by damage, change, leakage, so that the system can run continuously, reliably and normally, and the network service is not interrupted. Firewall technology is the main means to solve the network security problem. Firewall technology is an applied security technology based on modern communication network technology and information technology. By using audit records in intrusion detection system, intrusion detection system can identify any undesired activities, so as to limit these activities in order to protect the security of the system. Therefore, only by taking a variety of preventive measures and formulating strict confidentiality policies and clear security policies, can we ensure the confidentiality, integrity and availability of information in real time, and provide a strong security guarantee for the network.
Apply Data Mining Technique to E-Business Platform
Authors: Guo Ge , Chen Zhenzheng
Published: March 2020

Network technology continues to advance, cloud computing technology develops the internet provides us with a variety of data services, and the development of online shopping has gradually matured, E-commerce platform has become the most mainstream shopping place now, rich network data provides a lot of useful information for e-commerce, but the current data mining technology of e-commerce platforms is not mature enough, unable to meet the growing demand for online shopping.

This article is to solve the problem of how to better apply cloud computing technology and data mining technology to e-commerce platforms, analyzes the current status of data processing in e-commerce platforms, combining the research results of domestic and foreign scholars, combining data mining technology with specific applications in e-commerce platforms, after research analysis, finally summarized the advantages and disadvantages of applying data mining technology to e-commerce platforms, and how to solve the disadvantages, guidance on the application of data mining in e-commerce.
Personalized Recommendation Method of E-commerce Based on Fusion Technology of Smart Ontology and Big Data Mining
Authors: Jiang Shengli , Zhang Yi , Xu Hongsheng
Published: March 2020

E-commerce personalized recommendation system needs to be able to respond to user page requests in real time and provide recommendation services for users according to different recommendation models chosen by users. In this paper, based on the fusion method of intelligent ontology and big data mining, the semantic access preference of the user is captured by the user interest acquisition algorithm of the semantic cluster, and the current session of the user is matched with the acquired user preference to obtain the recommendation set. The paper presents personalized recommendation method of E-commerce based on fusion technology of smart ontology and big data mining.
Landslide Displacement Prediction Based on Extended Escendant Strategy PSO Neural Network
Authors: Lin Yuqiu , Jian Wenxing , Xu Chang , Pan Yongliang , Li Linjun
Published: March 2020

A new PSO algorithm based on extended escendant strategy was proposed. The dynamic change of the landslide displacement time series is nonlinear and uncertain. Combine extended escendant strategy PSO with the Elman neural network, and establish a landslide displacement prediction model based on EESPSO-ENN to realize the dynamic prediction of landslide displacement. Taking the Baishuihe landslide in the Three Gorges Reservoir area as an example, select the monitoring data of ZG93 from 2013 to 2016 as training samples and test samples for training and prediction. Comparing the prediction results of EESPSO-ENN with the BP neural network and SVM method, the results demonstrate that the EESPSO-ENN model has a small prediction error and its prediction effect applied in the Baishuihe landslide is better than BP neural network and SVM method. The validity of EESPSO-ENN was verified.
Sustainable Development of Rural Tourism in Guangdong Based on Remote Sensing and GIS
Authors: Wang Ning , Chen Lan
Published: March 2020

The economic development and the improvement of people’s living quality promote the development of tourism. The acceleration of urbanization has given birth to rural tourism industry. Guangdong has a relatively high economic level and is rich in rural tourism resources which are of rural characteristics. As a result, rural tourism in Guangdong started earlier and has begun to take shape. However, in the context of new urbanization, there are still a series of problems in the development of rural tourism in Guangdong, which restrict the sustainable development of rural tourism in Guangdong. In order to promote the further development of rural tourism in Guangdong, it is necessary to carry out in-depth research and analysis of its reality. Taking Guangdong rural tourism as an example, on the basis of remote sensing and GIS technology, with the help of such research methods as Gini index, geographic concentration index and geographical connection rate, this paper analyzes the space characteristics and resource types of rural tourism in Guangdong and discovers the problems existing in its sustainable development.
Hurst Index Analysis of Social Electricity Consumption Change Trend Based on R/S Analysis
Authors: Qi Xiaodong , Sheng Hu
Published: March 2020

With the rapid development of China’s electricity industry, the electricity consumption is also changing with a certain trend. Therefore, it is necessary to study the trend of the power consumption statistics for the whole society in China. In this research, according to 2016-2017 electricity consumption data of China Energy journal and Zhejiang electric power journal is analyzed by R/S analysis method. Hurst indexes are estimated to study the self-similarity properties in different times. The results show that the R/S analysis method can effectively analyze the time series data of electricity consumption, and the calculated Hurst index can better reflect the self-similarity trend of the electricity consumption of the whole society in the future.
Load Balancing Scheduling of Power Network in Cloud Computing Environment
Authors: Bin Dongmei , Yu Tong , Xin Li
Published: March 2020

In the traditional cloud computing environment, the power network load balancing scheduling method cannot adaptively track the time-varying coupling characteristics of load data, and the power data center is not efficient in processing massive data, so it is increasingly unable to meet the multi-service quality requirements of power users. The purpose of this paper is to improve the load balancing of power network, improve the efficiency of power network balance scheduling and power resource balance allocation in cloud computing environment. At the research method level, this paper analyzes the application status of data center and cloud computing task scheduling, and starts from the task scheduling demand analysis of cloud computing data center to determine load balancing and QoS as the technical goals of task scheduling. According to the parallel model framework of MapReduce, the task execution process is studied, and the design scheme of power cloud data center is given in view of the problems of low resource utilization, poor scalability and high energy consumption cost faced by the existing power data center. The experimental results show that the network load balancing scheduling method proposed in this paper can meet the multi-qos demand of power users to the maximum extent, effectively improve the efficiency of power data center operation, and achieve better load balancing effect than the traditional scheme.
Practice of Cloud Computing in Coal Mine Safety Production
Authors: Wang Kun
Published: March 2020

With China’s entering the information age, science and technology have entered all aspects of our lives. However, from the perspective of the current coal industry, there are still problems in the safety supervision system, such as the scarcity of personnel, heavy workload and low level of information, which have been unable to adapt to the continuous development of the current society. Based on the above background, the purpose of this paper is to study the application of cloud computing in coal mine safety production. This paper is based on the network technology platform and the SaaS architecture of management. It uses the mode of centralized management and distributed processing to form an integrated coal mine safety supervision information system, so as to solve the safety problems in coal mines. This paper provides a complete and feasible scheme for coal mine safety production monitoring. At the same time, the platform itself is a general monitoring platform with excellent expansibility. Wireless sensor network can carry a variety of different sensors, realize more monitoring functions, access server can realize a variety of access means, which is conducive to the transparency and standardization of coal mine production information. All of these are conducive to strengthening our country. At present, the coal mine production monitoring level, the monitoring platform has a wide range of application prospects.
Research on New Energy Automobile Power Motor Testing System
Authors: Liu Lesheng
Published: March 2020

As one of the important means to realize the energy revolution, the new energy vehicles have become the most popular transportation workers. As the core part of the electric vehicle, the performance and stability of the electric drive determine the quality of an electric vehicle.
Motion Track Optimization Based On Compound Eye Vision System
Authors: Zhu Hang
Published: March 2020

Aiming at many defects of human eye and computer vision system, based on the principle of multi-channel independent imaging, a method for fast determination of moving trajectory of moving target based on compound eye vision system is proposed. The principle, structure and algorithm of the traditional vision system and the compound eye vision system are compared and analyzed, and it is concluded that the compound eye vision system is superior to the traditional human eye and the computer vision system in the aspects of large wide angle, reaction speed and pixel. The SIFT method is used to extract image features quickly from different images, and the compound eye vision system is used to optimize the motion trajectory.
Resource Allocation Algorithm of Cloud Computing Infrastructure Services based on Continuous Optimization Algorithm
Authors: Lu Wenyi
Published: March 2020

The cloud environment is extremely complex, dynamic and changeable. How to use cloud services efficiently to create economic benefits for enterprises and even society is a matter that most scholars and manufacturers pay close attention to at present. Therefore, the resource allocation of cloud computing becomes the focus of research. The purpose of this paper is to further study the resource allocation algorithm of cloud computing infrastructure services. Firstly, the IAAs mode in three main application modes of cloud computing is introduced in detail. Based on the understanding of optimization theory, the resource allocation algorithm of cloud computing infrastructure services with continuous optimization algorithm is established. The experimental results show that the number of iterations of the three algorithms is generally on the rise with the increase of the number of task nodes. In general, the number of iterations of ant colony algorithm is less than that of genetic algorithm, and the performance of continuous optimization algorithm is better than that of both, which shows that it can promote the overall efficiency of the algorithm.
Different Exposure Images of the Same Scene Based on Matlab
Authors: Zhang Xun , Pan Ying , Liu Ying
Published: March 2020

During the shooting process of the camera, the problem of overexposure or underexposure often occurs, leading to the loss of important information in the picture. In response to this problem, this article first restores the camera’s light response curve by taking multiple images with different exposures for the same static scene, combining the principle of least squares and the B-spline function fitting method, and obtaining the pixel values and exposure in the image the mapping relationship between them, and then fuse the scene photo images of different exposures into a high dynamic range image. Secondly, the synthesized high dynamic range image is deal with by Matlab program, and the exposure time is 8s, 1/2s, 1/30s, and 1/500s to reconstruct the image. Finally, experimental results show that the effects of the synthesized high dynamic range image and reconstructed exposure image are significant.
Protection and Activation of Cultural Heritage Based on Cloud Computing Platform
Authors: Gao Yuanheng , Wang Leilei , Zhang Heqing , Liu Run
Published: March 2020

Cultural heritage is the crystallization of the wisdom of peoples of all countries. Its value is inestimable, and countries and regions around the world have reached a consensus on protecting cultural heritage. The digital museum uses virtual reality technology, three-dimensional scanning technology, computer network technology and other display technologies to present the physical museum in a three-dimensional manner in the network application in the real world. The challenges facing the construction of digital museums mainly come from two aspects: Technically, digital museums can be regarded as a combination of a large-scale distributed information resource database and a multimedia broadband network, and a unified platform resource for cultural heritage natural resource information sharing and services. In terms of management, there are a series of problems in the management of digital museums in all stages of data collection, storage, transmission, and display. Based on the above background, the research content of this article is the protection and activation of cultural heritage based on cloud computing platform. This article analyzes the technical problems facing digital museums. Based on the in-depth study of Hadoop cloud computing, a digital museum construction plan based on Hadoop and a distributed multi-QoS parallel routing algorithm based on TCP / IP are proposed. This paper mainly adopts multi-QoS distributed parallel routing algorithm to improve the data transmission efficiency, thereby improving the query response speed of the system. This paper analyzes the theoretical foundation of Hadoop and the feasibility of building a digital museum, and builds the module implementation of the digital museum. Finally, the construction of Hadoop experimental environment is introduced. Simulation results show that compared with traditional algorithms, the improved algorithm can balance network load and improve network resource utilization. The performance analysis of the system verifies that the model proposed in this paper meets the requirements of security and integrity.
Cultivation of Talents for Mass Entrepreneurship and Innovation of Fine Arts Majors in Colleges and Universities from the Perspective of “Internet +”
Authors: Song Yadi
Published: March 2020

With the advent of the “Internet plus” era, there is a huge gap in the demand for “mass entrepreneurship and innovation” talents in the field of fine arts. Therefore, the government has put forward the concept of “mass entrepreneurship and innovation” to put forward the direction for solving the employment problem of graduates. Based on the characteristics of fine arts majors, this study analyzes the opportunities and challenges from the perspective of “Internet plus”, which is of practical significance for strengthening students’ entrepreneurial ability, building entrepreneurial platforms, innovating educational concepts and promoting the three-dimensional reform of entrepreneurship education in colleges and universities. In this paper, the fine arts class specialized students’ innovative undertaking education present situation and the status quo of the double gen talent training and analyzes the existing problems, in view of the double and the ways for the cultivation of the talents were discussed, and the “Internet +” thinking and “double gen” oriented puts forward the optimized university fine arts class specialized personnel training mode of specific measures. Through the “Internet +” self-employment questionnaire survey and individual interviews of art majors, reliable and real data are collected, and the advantages and problems of art majors in “Internet +” entrepreneurship are found out by combining literature analysis with empirical research.
Tools of Centralized Management Platform Based on Puppet and Ansible
Authors: Qiao Lin , Bo Jue , Guo Linlang , Hu Fei , Hu Nan , Ran Ran
Published: March 2020

With the development and expansion of enterprise groups, large enterprise groups are gradually moving towards multinational groups. Such enterprises have many subordinate units, frequent business exchanges, business types and business scopes all over the world, and there are frequent work exchanges around the world. In particular, the decentralization of funds makes the management of funds difficult. The management risk of funds is also relatively high with the characteristics of the group companies. For large enterprise groups, especially multinational groups, the relatively centralized management of group funds is a challenge. In order to meet the management needs of large enterprise groups, the concept of centralized fund management emerged as the times require, and it first appeared in large enterprises in western countries. In order to solve the management difficulties and realize the centralized management of the company group, etc., and for the management staff to achieve overall planning and consideration, this article specifically takes Group A as an example to carry out the investigation. Through investigation, it can be found that the company’s fund precipitation is very obvious, the supervision is seriously insufficient, the capital utilization rate is extremely low at about 40%, and the maximum does not exceed 50%. Group A cannot obtain the financial information of each subsidiary and branch in time. There is a lag in reconciliation information with branches. In order to solve this difficulty, this article deliberately combined puppet and Ansible to study the tools of the centralized management platform, to find the direction for the company to achieve centralized development, and to further promote the development of the group.
Interchange Means between Urban Rail Transit and Private Car
Authors: Liu Tao
Published: March 2020

Urban rail transit such as subway is important means of transportation for people to travel. With the acceleration of urbanization construction throughout the country, urban rail transit has developed rapidly. More attention is paid to the interchange means between urban rail transit and other urban transportation systems, such as public transport, public bicycle, and private car, and the interchange means has gradually become an important indicator for assessing the level of urban transportation system. This paper analyzes the interchange means between urban rail transit and other urban transportation systems, and puts forward relevant suggestions on the interchange between between urban rail transit and private cars to contribute to the promotion of urbanization.
Analysis of efficient Optimization Algorithm for Chaotic Information Nodes in Wireless Networks
Authors: Qi Jing
Published: March 2020

Aiming improve the ability of fault detection and diagnosis of wireless network communication, the network chaotic information nodes are detected accurately and efficiently. An efficient detection method for chaotic information nodes in wireless networks is proposed based on quantization tracking and identification of sensor information. Firstly, the node connectivity graph model of wireless network communication is constructed, the link transmission channel of wireless network communication is analyzed, and the topology structure of distributed node is designed. Then the distributed sensor detection technique is used to detect the node output link equalization of wireless network communication. The higher-order spectral features of the output bit sequence stream of wireless network communication channel are extracted, and the anomaly of the characteristic quantity is extracted according to the characteristic quantity. The sensor information quantization tracking and identification technology is used to detect the chaotic information nodes in wireless network. Finally, the simulation test of high efficiency optimization detection of chaotic information nodes in wireless network communication is carried out. The results show that the accuracy of efficient optimization detection for chaotic information nodes is high by using this method. The quality of wireless network communication is improved because of the good real-time performance of network interrupt detection and fault diagnosis.
Improvement of ternary gypsum-based composite resistance to a humid environment
Authors: Dobias D , Pokorny P , Kolisko J , Dolezelova M
Published: March 2020

The paper describes the behavior of ternary gypsum-based composites, especially the changes of properties caused by the influence of moisture. The ternary gypsum-based mortar, composed of gypsum, hydrated lime, different types of pozzolan (silica fume, granular blast slag, and brick powder), and standard sand was investigated. Pozzolans in the mixture react with hydraulic lime and form CSH phases in the material. The presence of these phases improves the resistance of gypsum against the moisture. The way of samples’ storage affects the development of materials structure and properties of gypsum-based mortars. Therefore, samples were stored in two different environments (laboratory conditions and underwater) for a period of 360 days. The basic physical and mechanical properties of samples stored in the laboratory environment and under the water are compared. The comparison of the TG curves, based on the samples of different ages was carried out. The storage in the water has the most significant impact on the properties of all materials, especially on mechanical properties. While the strength of pure gypsum mortar, stored in the water, decreased significantly, and after one year in the water environment, the samples were nearly destroyed, the samples with pozzolan admixtures revealed the improvement of mechanical properties, when stored in water.
Experimental study of flexural behavior and serviceability of hybrid concrete beams reinforced by steel and G/BFRP bars
Authors: Lu C H , Li H , Xu K , Xuan G Y , Abdullah W
Published: March 2020

In this paper, the flexural behavior and serviceability performance of concrete beams reinforced with hybrid glass/basalt fiber-reinforced polymer (G/BFRP) bars and steel bars were investigated. From the viewpoint of reducing the risk of steel corrosion, two kinds of hybrid reinforced beams were designed, eleven concrete beams including 3 steel-reinforced beams and 8 hybrid-reinforced beams were tested. The effect of the hybrid reinforcement ratio on the flexural performance was analyzed and the applicability of replacing steel bars with GFRP or BFRP bars in concrete beams was discussed. The results show that the ultimate bending moment of hybrid-reinforced concrete beam was about 91-97% of that of steel-reinforced concrete beam with the same reinforcement ratio. Since the reduction of the bearing capacity of hybrid-reinforced beam was small, it can be proved that it is feasible to replace the corner steel bar of concrete members with G/BFRP bars. For the serviceability performance of beams hybrid-reinforced with G/BFRP bars and steel bars, however, their deflection and maximum crack width were 20%-60% higher than that of steel-reinforced beams under the same load levels within the limit state of serviceability. It showed that the stiffness and crack resistance of hybrid beams weakened greatly. Finally, it was found that the FRP-to-steel ratio of bar areas had great influence on the flexural behavior and serviceability performance of concrete beams hybrid-reinforced with FRP and steel bars.
Graphene-polymer nanocomposites for thermal conductive applications
Authors: Zhang X , Zheng J , Du Y Q , Wang Z W , Wu Y D , Luo G
Published: March 2020

Graphene has been widely used in improving the physical properties of polymer composites. By adding different forms of graphene nanomaterials to the polymer matrix, the thermal conductivity of the polymer composite can be effectively improved. In this work, the research of graphene-polymer thermal composites is reviewed, and the main preparation methods and material design principles of graphene-polymer composites are analysed. The main preparation methods include improving the dispersion, surface modification, tailoring the size and loading, applying synergistic effect and building three-dimensional network of graphene.