scholarly journals Research on the Application of Financial and Taxation Big Data in Enterprise Taxation Risk Management

2020 ◽  
Vol 218 ◽  
pp. 01053
Author(s):  
Min Zhang
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Big Data ◽  
Internet Of Things ◽  
Social Development ◽  
Financial Management ◽  
Application Research ◽  
Risk Assessment Mechanism ◽  
Internet Of Things Technology ◽  
Stable Development

At present, it is an important period for the comprehensive deepening of China’s economic system. Enterprises will generate a large amount of fiscal and taxation data in production. Traditional financial management methods no longer meet the needs of current social development. It is necessary to integrate big data and Internet of Things technology to make it clear and establish an effective risk assessment mechanism to ensure the stable development. The article will mainly discuss the application research of fiscal and taxation big data in enterprises taxation risk management.

scholarly journals A Weakly Supervised Academic Search Model Based on Knowledge-Enhanced Feature Representation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Mingying Xu ◽  
Junping Du ◽  
Feifei Kou ◽  
Meiyu Liang ◽  
Xin Xu ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Feature Representation ◽  
Search Model ◽  
Model Based ◽  
Proposed Model ◽  
Cloud Server ◽  
Weakly Supervised ◽  
Internet Of Things Technology ◽  
Academic Search

Internet of Things search has great potential applications with the rapid development of Internet of Things technology. Combining Internet of Things technology and academic search to build academic search framework based on Internet of Things is an effective solution to realize massive academic resource search. Recently, the academic big data has been characterized by a large number of types and spanning many fields. The traditional web search technology is no longer suitable for the search environment of academic big data. Thus, this paper designs academic search framework based on Internet of Things Technology. In order to alleviate the pressure of the cloud server processing massive academic big data, the edge server is introduced to clean and remove the redundancy of the data to form a clean data for further analysis and processing by the cloud server. Edge computing network effectively makes up for the deficiency of cloud computing in the conditions of distributed and high concurrent access, reduces long-distance data transmission, and improves the quality of network user experience. For Academic Search, this paper proposes a novel weakly supervised academic search model based on knowledge-enhanced feature representation. The proposed model can relieve high cost of acquisition of manually labeled data by obtaining a lot of pseudolabeled data and consider word-level interactive matching and sentence-level semantic matching for more accurate matching in the process of academic search. The experimental result on academic datasets demonstrate that the performance of the proposed model is much better than that of the existing methods.

scholarly journals Financial Risk Assessment Using Enterprise Risk Management Concept

2020 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Anastasia Filiana Ismawati
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Financial Management ◽  
Financial Risk ◽  
Enterprise Risk Management ◽  
Financial Risks ◽  
Enterprise Risk ◽  
Management Concept ◽  
Risk Contribution ◽  
Management Report

Risk management by using risk mapping can help X Hospital located in Yogyakarta in financial management towards operating as an objective company. Enterprise Risk Management (ERM) helps organizations manage all the risks precisely and in a more integrated way. This research focuses on the risk assessment in X hospital that has not applied ERM, to analyse its financial risks. From this test, X Hospital is expected to manage its risks by using the ERM methods more, in order than the sustainability of the business can be maintained over a longer period, and thus, being able to compete with the competitors. Based on the results of risk the assessment, out of the 15 risks identified. There are top three risks that cannot be acceptable. They are: financial management report risk, contribution risk and multiple jobs risk of X Hospital. The three risks need to get response and allocations of good funds and attention from the management.

scholarly journals Information Security Terminal Architecture of Power Transportation Mobile Internet of Things Based on Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xianzhi Tang ◽  
Chunyan Ding
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Security ◽  
Internet Of Things ◽  
Power System ◽  
Big Data Analysis ◽  
The Internet ◽  
Mobile Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The progress of the social economy and the rapid development of the power field have created more favorable conditions for the construction of my country’s power grid. In this network age, how to further realize the connection between the power system and the Internet of Things is the key content of many scholars’ research. In the Internet of Things environment, there have been many excellent results in the collection, storage, and management of electric power big data, but the problem of information security has not been completely solved. Based on big data analysis and Internet of Things technology, this paper studies the architecture design of power information security terminals. In view of the diverse types of power grid mobile information and the large amount of data, this paper designs a power transportation mobile information security management system structure, which improves the effective management of power data by the system through big data, smart sensors, and wireless communication technology. According to the experiment, the power information security terminal constructed in this paper can effectively reduce communication resources and save communication costs in the process of aggregating multidimensional data. In the user satisfaction survey, residents’ satisfaction with the convenience and safety of the intelligent power system is also as high as 9.312 and 9.233. On the whole, the application of big data and Internet of Things technology to the construction of power information security terminals can indeed improve the service efficiency of power companies under the premise of ensuring safety and allow users to have a better experience.

Sign in / Sign up

Export Citation Format

Share Document