bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alpha Stable Distribution Based FARIMA Modeling and Forecasting for Network Traffic Data
Authors: Sheng Hu , Yan Qiuting , Li Kaixin 
Published: July 2020

Abstract
Through research on network traffic in recent years, it is found that actual network traffic not only has long correlation but also has heavy-tailed characteristics. The Alpha stable distribution provides a very useful theoretical tool for such processes. According to the nature of the Alpha stable distribution, we need to improve the relevant parameter value method of the Fractional Autoregressive Integrated Moving Average model and improve the prediction accuracy of the model. In this paper, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average modelling method is introduced, and the validation of the method is analyzed using Fractional Gaussian Noise time series and impulse noise corrupted Fractional Gaussian Noise time series. Finally, the Alpha stable distribution based Fractional Autoregressive Integrated Moving Average model is applied to BC-p Aug89.TL data provided by Bell Labs. The analysis shows that the improved Fractional Autoregressive Integrated Moving Average model has a better prediction effect on actual network traffic and is a more representative research method.
Study on the Location of Small Reservoir in Hilly Area by Newton Method
Authors: Chi Xiaoli , Chi Enxian , Tang Chunhua 
Published: July 2020

Abstract
The purpose of this paper is to solve the problem that small reservoirs in hilly areas are located according to the terrain characteristics. According to the terrain height difference characteristics in hilly areas, Newton method is proposed to solve this problem, Newton method has basic Newton method and damping Newton method, both of which search in the given search direction, find the extreme value of the function, and construct the search function through Hessian matrix and negative gradient of the function, Calculate the next iteration point. The following iteration point is the initial point. Continue to calculate the next iteration point until the condition of extreme point is met. The iteration point is the extreme point. This method has fast iteration speed and accurate location. The accuracy of Newton’s method is verified by simulation data.
Cloud Computing Model in the Optimization of Government Function Management
Authors: Zhang Hua 
Published: July 2020

Abstract
Cloud computing not only reflects the progress and pioneering technology, but also reflects the pioneering of the traditional management model. Cloud computing model has been applied in the management of all walks of life and also played an important role in the innovation of government function management. The purpose of this paper is to optimize the cloud computing model in the government function management through relevant research. This article first to the functions of the government management and the concept of cloud computing model is analyzed, and then with the help of a cloud computing model applied in the functions of the government management of investigation and experiment, analyzes the cloud computing at the main problems existing in the functions of the government management applications, and based on this, advances some solving strategies to promote cloud computing model with good combination of the functions of the government management. The experimental results show that the fit degree between the cloud computing model and the government function management is only 71.24%, and the actual application effect is only 65.13%. Compared with the traditional method, the efficiency of the government function management under the cloud computing model is only 17% higher.
Application Strategy of Big Data in College Student Association Activities
Authors: Liu Renfei 
Published: July 2020

Abstract
The era of big data brings together a wealth of rich information resources, bringing unprecedented innovation power, opportunities and possibilities to all walks of life, and promoting the development and evolution of the era. In the current development process of college student associations, to implement scientific and effective talent management, big data technology must be introduced to assist the management of student associations. Make full use of big data technology as the most basic strategic resource and effective means to transform the management of student associations from static and result-based management to dynamic and process-oriented. This article starts from the concept of big data, combines the definition and characteristics of college student associations, uses survey research methods, literature research methods, and comparative analysis methods, and issues a questionnaire on "Student Association Management and Association Activity Survey". A special investigation, analysis and sorting of the activities carried out were carried out. Among them, the efficiency of resource sharing in student club management is relatively low, accounting for 52.35%. The application strategies of big data are studied from the aspects of student club management system, club evaluation mechanism, student activity needs, community resource sharing and intercommunication.
Research on an Optimization Method of Comprehensive Regulation of Energy Supply and Demand in Integrated Energy System
Authors: Tang Yanmei , Jin Lu , Shi Yiwen , Li Kecheng 
Published: July 2020

Abstract
For an integrated energy system (IES) with demand-side response capabilities, both the production of chilled water, hot water, electricity, and steam can be changed by adjusting the output of various energy conversion equipment, and various energy products can be adjusted through the demand-side management. The change of energy conversion equipment operation and demand response measures implementation are all need costs. Integrated optimization of the production side and demand side of energy products such as cold, heat, electricity, and steam have the potential to reduce the total energy cost of IES. To this end, this article combines cases to establish a mathematical model for the various types of energy production and demand response costs of cold and heat electricity, with the goal of minimizing the overall cost of energy supply and use as a comprehensive control and optimization of energy supply and demand in IES. The results show that compared with simply adjusting the output of energy stations, the coordinated regulation of energy production and demand side of the integrated energy system has the potential to further reduce the cost of integrated energy supply and utilization system.
How Entrepreneurial Orientation Affects New Ventures Performance in the Era of Big Data
Authors: Wang Congjuan , Hu Xiaohan , Zeng Xin 
Published: July 2020

Abstract
In the era of innovative big data, empirical data analysis can bring certain inspiration to firms. Based on the upper echelon theory and resource-based view, with the first-hand data of 220 entrepreneurship enterprises in Shanghai, the relationship among entrepreneurial orientation, the ability of external resource acquisition (Operational resource and Intellectual resource) and performance of new enterprises was deeply explored. Results show that the entrepreneurial orientation, external operational resource acquisition are significantly related to the start-up performance respectively. Besides, external operational resource acquisition has a partial intermediary effect between entrepreneurial orientation and firm performance while external intellectual resource does not have the same effect. However, external intellectual resource acquisition positively moderates the relationship between operational resources acquisition and start-up performance as well as the relationship between entrepreneurial orientation and start-up performance.
Optimization Method of Surface Ship to Air Combat Deployment Based On Time Window
Authors: Ma Liang , Tian Feng , Shan Hong-yan 
Published: July 2020

Abstract
In order to shorten the response time of surface ships to air combat, improve the efficiency of surface ships’ combat command, and optimize the air combat deployment, a time window index was introduced to model and analyze the time performance of surface ships to air combat deployment. This model used the optimization techniques of fuzzy mathematics and dynamic programming to find the critical path of air combat deployment design. Considering the time urgency of the incoming target, the operational efficiency of the two air combat deployment design modes is compared and verified by taking the priority fire resistance and our minimum resources as the objective function. The simulation results show that the air-to-air combat deployment optimization technology based on time window can effectively simplify the air-to-air combat process and improve the command efficiency.
Scheduling Optimization of Joint Fire Strike of Time Series Targets Based on Grey Target Decision
Authors: Zheng Bao Hua , Ma Liang 
Published: July 2020

Abstract
Aiming at targets in joint fire fighting importance measure accuracy and timeliness of the problem, analyzing the characteristics of joint fire operations and the demand of the important target sequence optimization, based on grey target decision is established on the basis of the sequential hierarchical ordering model, is used to solve the problem of timing target importance. Based on the classification of the combat target system, this model reasonably sets the time series target index weight, and combines the main characteristics of each stage of the joint fire attack, proposes the model algorithm of the classification of the target system. Simulation verification was carried out according to the 6 types of targets of joint fire strike. Simulation results show that the scheduling optimization model based on grey target decision can meet the requirements of real-time operations.
Research on Wireless Charging Intelligent Car Based On Super Capacitor
Authors: Huang Jian , Bai Zichen 
Published: July 2020

Abstract
A wireless charging intelligent car is designed and manufactured. It includes a set of wireless charging device. The car chassis is equipped with a wireless charging receiving device. The super capacitor is used as the energy storage device to receive the electric energy from the transmitting device. The fine wire is used as the guide track, and the capacitance sensor is used to detect the trace of the fine wire. The test results show that the car can charge and drive automatically.
Path Planning Simulation of 6-DOF Manipulator
Authors: Zhang Junhao , Yang Xingbo , Li Yawei , Zhang Ningbo 
Published: July 2020

Abstract
With the development of automation and intelligence in manufacturing industry, industrial robots have become an important part of intelligent chemical plants. In practical application, all functions implemented are realized by manipulator. Facts have proved that reasonable path planning for the manipulator is helpful to reduce the loss and impact of mechanical parts during operation, greatly improve the service life of the manipulator, and also help to improve the control accuracy of the manipulator of the robot. In this paper, the six-degree-of-freedom manipulator is taken as the research object, and the motion path planning scheme of the manipulator is designed, which is verified by PVDF material grabbing simulation experiments. The results show that the motion path of the manipulator designed in this paper takes less time than the shortest path to grab materials, and the operation accuracy is higher.
Classification of Consumer Goods Safety Cases Based on Improved Bayesian Model
Authors: Xu Yingcheng , Feng Wei , Pei Fei , Wang Haiyan 
Published: July 2020

Abstract
Given the shortcomings of traditional multinomial naive Bayesian model, an improved multinomial Bayesian model based on feature weighting is first proposed. Second, in the weight setting of the model’s feature selection items, the TF-IDF algorithm does not consider the distribution of feature items between and within classes, and a range of factors related to word distribution is proposed such as intra-class factors, inter-class factors, document set factors, and normalization factors, then an improved TF-IDF weighting algorithm is put forward. Finally, combined with the case of consumer product safety, the effectiveness and feasibility of the proposed model and algorithm are verified.
Integration of Arts and Crafts in Artificial Intelligence Environment
Authors: Pu Jiang 
Published: July 2020

Abstract
Based on the discussion of the contemporary design and inheritance protection of arts and crafts, and the influence of artificial intelligence(hereinafter referred to as AI) on arts and crafts, this paper makes clear the integration of the two in the historical period of the epoch development and the scientific progress of arts and crafts. From design re-engineering to educational innovation, it promotes the extension of the value and innovative mechanism of arts and crafts, so as to realize its sustainable development in the AI environment.
Optimization Scheme of Hydraulic Fracturing Simulation Experiments using Mixed-level Uniform Design Method Based on the PKN model
Authors: Liu Yimin , Wang Chenghu , Zhou Hao 
Published: July 2020

Abstract
This paper aims at revealing the hydraulic fracturing effect of hydrodynamic influencing factors of fracturing fluid by laboratory experiments. The experimental design for huge number of hydrodynamic influencing factors with many levels, is oftentimes incorporated with the conventional methods, i.e. Based on the PKN model, injection rate, viscosity, and density (of the fracturing fluid) and their parameter values (levels) were considered for the construction of an optimal mixed-level design table U* 12(43×6), which constructed the optimization scheme. The experiments results were subjected to multiple regression analysis to establish optimal fitting formulas for the relationship of single factor or multi-factor with rock fracturing value. Compared with other experimental designs, experimental number of U* 12(43×6) yielded only half the number of experiments in the orthogonal design L24(43×6) and presented better distribution uniformity of experimental points than Ui2(43×6). This paper provides a fast and effective experimental scheme for the effect analysis, as well as a substantially accurate method for in-situ stress measurement.
Shaping and Publicization of Personal Information Spacec of COVID-19 Information Dissemination
Authors: Wang Kailing , Wang Sun , Wang Jun 
Published: July 2020

Abstract
With the rapid development and evolution of network information technology and ‘we media’, individuals have realized that "everyone is a communicator." Individuals expose their lives to the public’s vision through the Internet, and realize the publicization of personal space. During the epidemic, Chinese people were enclosed in the private activity space of the family. The epidemic-related information was transmitted to the general public through various media to create a personal information space for the public. The public personal information space presents new characteristics. Into a new research topic.
Measuring Economic Growth Differentiation of Emerging Economies Based on Calculation of Theil Index
Authors: Li Jing , Chen Ye , Xie Zhihai , Zou Xinlei 
Published: July 2020

Abstract
The purpose of this paper is to select 35 emerging economies from Asian, European, Latin American and African regions as the research objects and use GDP and population data of the years from 1990-2016 to calculate the intragroup Theil indexes within the four individual regions, the interblock Theil index among the four regions, the total Theil index among the emerging economies, then the contribution of intragroup and interblock gap to the total gap in order to measure the economic growth differentiation of the emerging economies. The results indicate that the decreasing total Theil index and the interblock Theil indexes reflect the narrowing trend of output per capita among the emerging economies and among the four regions, the intragroup Theil indexes within the four individual regions that are all lower than Asian region reflect that the gap of output per capita in the Asian region is larger than the other 3 regions; according to the contribution rate, the total gap of output per capita among the emerging economies is mainly affected by the gap among the four regions and the Asian region. It can be concluded that the economic growth differentiation is embodied mainly in the gap among the four regions and in the gap among the Asian economic economies.
Prediction of Poor Students’ Classification Based on Adaboost Algorithm Integrated Learning Model
Authors: Li Wang , Jiao Guie 
Published: July 2020

Abstract
Aiming at the problem of identifying the poor students in colleges, based on the improved classification imbalance, this paper proposes to establish the AdaBoost algorithm integrated learning model for the first time to solve the problem of identifying the poor students in colleges. In this model, decision tree is used as weak learner, and principal component analysis algorithm and balance cascade algorithm are used to reduce dimension and undersampling data. At the same time, the paper focuses on the comparison of the algorithms that choose the effect of sample set classification as the weight(SAMME.R) and the size of the prediction probability of sample set classification as the weight(SAMME). Experiments have proved that the AdaBoost ensemble learning algorithm model is better than the single classifier algorithm in predicting the results, which can ensure the fairness and objectivity of the recognition results, and has a strong application value for the recognition of poor students in colleges.
Research on the Tourism Resource Protection Model and Sustainable Development of Tourism Industry in the Information Age
Authors: Gao Fang 
Published: July 2020

Abstract
The protection of tourism resources is an important prerequisite for the sustainable development of the tourism industry, and it is gradually valued by market participants and their government management. This article proposes five tourism resource protection models based on the tourism resource protection subject and tourism product pricing mechanism, and compares and analyzes the tourism resource stocks and social welfare levels under the five tourism resource protection models through numerical simulation methods. Research shows that both private governance and government governance monopoly pricing mechanisms are superior to fully competitive pricing mechanisms, and the proportion of governance funding input or income tax rate decreases with the same level of pollution degradation.
Intelligent Air Control System Based on Single-Chip Microcomputer
Authors: Wang Yu 
Published: July 2020

Abstract
This article designs an intelligent air control system and regard AT89C52 MCU as control core. We can set the ideal temperature and ideal humidity through the keys. Collect signal by a variety of sensors and transmit signals to the single-chip microcomputer. The most important thing is to use PID algorithm to control. Specifically, combined with PID algorithm, the single-chip microcomputer accurately control the output of the relay. At last, the relay drives the corresponding load on the purpose of changing the indoor temperature, humidity, gas quality. Besides, there are an alarming system by sound and light.
Ecological Economic Development Based on Supply Chain in the Era of Big Data
Authors: Shen Lei 
Published: July 2020

Abstract
Under the background of the active development of ecological economy in China, the transition from traditional supply chain to ecological supply chain has become a new topic of supply chain management. The use of big data technology is not only an inevitable choice for supply chain, but also an important guarantee for the development and innovation of supply chain. The purpose of this paper is to study the ecological economic development based on supply chain in the era of big data. This paper firstly analyzes and studies the development problems of enterprises in the supply chain, and expounds the significance of applying big data technology to ecological supply chain. Then it introduces the connotation and composition of ecological supply chain. Then, based on the gradient promotion decision tree algorithm, a cost sensitive xgboost algorithm, called cs-xgboost algorithm, is proposed in this paper. The experimental results show that it is of practical significance to apply the decision tree algorithm proposed in this paper to the risk prediction of ecological supply chain. In this paper, AUC and ACC are used as performance indicators to test the cs-xgboost algorithm, and the value of AUC of the algorithm is 0.9.
Spatial model of air surface temperature using Landsat 8 TIRS
Authors: Wibowo Adi , Yusoff Mariney Mohd , Adura Tengku Adeline , Wibowo Adi , Supriatna  , Hakim Zaini Lukmanul 
Published: July 2020

Abstract
Over the past decade, the global temperature rise has become a hazard in the world. The UN Intergovernmental Panel on Climate Change (IPCC) released Fifth Assessment Report that the end of this century will increase 1-2°C in global mean temperature. Malaysia and Indonesia, which observed more than 30 years had increased temperature by 1°C, and this result in line with (IPCC) released Fifth Assessment Report. The research objective to analysis spatial-temporal of air surface temperature model. The spatial model air surface temperature generated from Landsat 8 OLI/TIRS. The research has shown the spatial-temporal change 2013-2018 for air surface temperature. The critical result is trend 2013-2018 with maximum temperature >30°C with increased 1°C. Finally, this research concluded that a spatial model of air surface temperature using Landsat 8 in the tropical country could be a spatial model of Air Surface Temperature.
Land suitability analysis for global mangrove rehabilitation in Indonesia
Authors: Syahid N , Sakti Anjar D. , Virtriana Riantini , Windupranata Wiwin , Sudhana Sonny A , Wilwatikta Felia N , Fauzi Adam I , Wikantika Ketut 
Published: July 2020

Abstract
Mangrove has an important role not only for ecosystem services such as erosion control and water purification but also for human life. For instance, mangrove has been satisfactorily saving people from the ocean such as storm surge or tsunami. However, mangrove population has fallen for about a fifth over these 25 years. Therefore, rehabilitation and restoration of mangrove are essential to be taken to overcome mangrove loss. Nonetheless, in several areas, while doing the rehabilitation mangrove, some species of mangroves failed to survive due to several parameters that were not suitable for them to grow. Hence, this research aimed to determine suitable sites for mangrove life in Indonesia globally. This research used several parameters which were: elevation, slope, air temperature, and precipitation, to measure the suitable sites. The result shows that 62% from the total area (99,773 ha) of coastline in Indonesia are suitable for mangrove to grow included 59% is suitable class (95,347 ha) and 3% is perfectly suitable class (4,427 ha), while the unsuitable class has 38% (61,616 ha) from the total area. Furthermore, in some areas, the decreasing number of suitable land for mangrove was related to the increasing number of mangrove deforestation.