bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Motion Track Optimization Based On Compound Eye Vision System
Authors: Zhu Hang 
Published: March 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.