Computer Mathematical Statistics and Empirical Analysis of the Influencing Factors of Savings by Big Data Technology

2021 ◽  
Author(s):  
Bingru Han
Keyword(s):  
Big Data ◽  
Empirical Analysis ◽  
Influencing Factors ◽  
Mathematical Statistics ◽  
Big Data Technology

scholarly journals Computer Mathematical Statistics and Analysis on Automobile HFCs Reduction Path Using Big Data Technology

2021 ◽  
Vol 2083 (3) ◽  
pp. 032085
Author(s):  
Jiabao Ren ◽  
Xuefeng Liu ◽  
Chaoqian Wang ◽  
Lei Wang
Keyword(s):  
Big Data ◽  
Automotive Industry ◽  
Current Situation ◽  
Montreal Protocol ◽  
Mathematical Statistics ◽  
Advantages And Disadvantages ◽  
Big Data Technology

Abstract China has submitted an application to join the Kigali amendment to the Montreal Protocol. As the second largest hydrofluorocarbons (HFCs) consumer industry in China, the automotive industry is facing enormous pressure to reduce HFCs. This paper analyzes the current situation of HFCs use in the domestic automotive industry, and makes a simulation prediction of HFCs use data in the automotive industry from 2024 to 2030, analyze and evaluate the advantages and disadvantages of different technical routes. The relevant contents of this paper will provide reference for the formulation of HFCs reduction policy.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology
Sign in / Sign up

Export Citation Format

Share Document