scholarly journals Research on cost management of wenzhou huafeng group co., LTD. Under the background of big data

2020 ◽  
Vol 214 ◽  
pp. 01002
Author(s):  
Wang Yang
Keyword(s):  
Big Data ◽  
Research Method ◽  
Cost Management ◽  
Growth Accounting ◽  
The Internet ◽  
Analysis Method ◽  
External Data ◽  
The Cost ◽  
Global Data ◽  
Big Data Technology

With the convergence of information technology and human production and life, as well as the rapid popularization of the Internet, the global data show an explosive growth. Accounting, especially cost management, is also closely related to external data. Therefore, the cost management also needs to apply the big data technology to realize its function and method synchronization optimization. This paper first USES the literature research method to sort out the relevant concepts and theories of enterprise cost management at home and abroad, then USES the data analysis method to analyze the current situation and main problems of wenzhou huafeng group co., ltd. in the cost management, and finally, combined with the background of big data, puts forward the corresponding countermeasures through the problems. In a word, through research and analysis, the problems and deficiencies in cost management of enterprises are found, and on the premise of the background of big data, Suggestions and countermeasures are put forward to solve the problems in cost management of enterprises.

scholarly journals Monitoring Methods of Marine Pollution Range Based on Big Data Technology

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Q. Zhong ◽  
X.M. Liu
Keyword(s):  
Water Quality ◽  
Big Data ◽  
Marine Pollution ◽  
Pollution Monitoring ◽  
Analysis Method ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Sensing Technology ◽  
Water Quality Sensors ◽  
Big Data Technology

With the development of big data technology, traditional monitoring methods for the scope of marine pollution can no longer meet the current needs of accuracy and timeliness. In light of the outstanding topic, this study proposed to use big data technology to monitor the scope of marine pollution. The intelligent digital remote sensing technology was used for multi-dimensional monitoring of ocean water quality and completed the calculation of data collected by water quality sensors through the improved big data comparative analysis method. Finally, the scope of pollution monitoring was realized. The results verified that the proposed monitoring method could achieve high-precision and time-sensitive monitoring of the range of marine pollutants, and could identify the basic information of pollutants.

scholarly journals Operation Platform of Charging Pile Metering Equipment Based on Big Data

2021 ◽  
Vol 2143 (1) ◽  
pp. 012038
Author(s):  
Wei Liu ◽  
Chaoliang Wang ◽  
Yang Zhang ◽  
Tao Xiao ◽  
Chunguang Lu
Keyword(s):  
Big Data ◽  
System Development ◽  
Electric Energy ◽  
Current Status ◽  
Analysis Method ◽  
Existing Problems ◽  
Green Development ◽  
New Energy ◽  
Operation Platform ◽  
Big Data Technology

Abstract At present, our country’s new energy industry has developed rapidly with the concept of green development, and at the same time, the demand for charging piles and other equipment is also increasing. However, many new energy vehicles need to pay corresponding fees when using charging piles, resulting in bloated data in the original metering system. Based on this, the purpose of this article is to design and research the operation platform of charging pile metering equipment based on big data. This article first analyzes and studies the current status of charging pile metering, and studies its existing problems and shortcomings in combination with big data technology. The feasibility of the system development and the module functions of the charging pile metering equipment operating platform are studied. This article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and other research forms to study the content of this article. Experimental research shows that the accuracy of the charging pile metering equipment based on big data studied in this paper is within 0.1, which is extremely feasible.

A Big-data Study of YouTube Comments to Classify Customer Journey Decisions - Proposing a New Exploratory Analysis Method -

2019 ◽  
Vol 16 ◽  
pp. 57-89
Author(s):  
Seonwoo Kim ◽  
Heewoong Ahn ◽  
Yoona Jang ◽  
Minye Hong ◽  
Minji Seo ◽  
...  
Keyword(s):  
Big Data ◽  
Exploratory Analysis ◽  
Analysis Method ◽  
Customer Journey

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.

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