scholarly journals Research on the Impact of Regional Economy on Industrial Development from the Perspective of Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Lu Zhang ◽  
Dong Zhao ◽  
Siheng Li ◽  
Han Xiao ◽  
Jianjun Bu ◽  
...  
Keyword(s):  
Big Data ◽  
Industrial Development ◽  
Regional Economy ◽  
Rapid Development ◽  
Reduction Process ◽  
Data System ◽  
The Internet ◽  
Beibu Gulf ◽  
Eastern Region ◽  
The Impact

In order to study the driving force of China’s rapid economic development in the past ten years, the study takes Guizhou, Yunnan, and Guangxi as a case study, focusing on the big data assets exchange (GBDEx) and Beibu Gulf Economic Zone, and discusses the impact of Internet plus economic and government data and the big data system on regional economy. Finally, it is believed that the Internet and big data fully avoid the disadvantages of traffic distance between the western region and the eastern region, make full and efficient cooperation between enterprises and institutions in the central and western regions and Chinese and foreign economic entities, and strengthen the control of economic behavior from the big data level with the support of the service-oriented government. The information entropy output from the Internet big data system has led to a significant entropy reduction process in China’s economic environment and a more orderly economic system, which is also an important reason for the rapid development of China’s economy.

scholarly journals Research on the Design of Government Affairs Platform in the Context of Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qian Huang ◽  
Xue Wen Li
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Learning Algorithm ◽  
The Internet ◽  
Chinese Government ◽  
Development Status ◽  
Deep Learning Algorithm ◽  
Government Management ◽  
The Government ◽  
The Impact

Big data is a massive and diverse form of unstructured data, which needs proper analysis and management. It is another great technological revolution after the Internet, the Internet of Things, and cloud computing. This paper firstly studies the related concepts and basic theories as the origin of research. Secondly, it analyzes in depth the problems and challenges faced by Chinese government management under the impact of big data. Again, we explore the opportunities that big data brings to government management in terms of management efficiency, administrative capacity, and public services and believe that governments should seize opportunities to make changes. Brainlike computing attempts to simulate the structure and information processing process of biological neural network. This paper firstly analyzes the development status of e-government at home and abroad, studies the service-oriented architecture (SOA) and web services technology, deeply studies the e-government and SOA theory, and discusses this based on the development status of e-government in a certain region. Then, the deep learning algorithm is used to construct the monitoring platform to monitor the government behavior in real time, and the deep learning algorithm is used to conduct in-depth mining to analyze the government's intention behavior.

scholarly journals The Influence of the Development of Digital Economy on the Upgrading of China’s Industrial Structure

2021 ◽  
Vol 235 ◽  
pp. 03062
Author(s):  
Yaling Li
Keyword(s):  
National Economy ◽  
Economic Model ◽  
Industrial Structure ◽  
Rapid Development ◽  
Digital Economy ◽  
The Internet ◽  
Profound Impact ◽  
Internet Development ◽  
The Impact

Nowadays, with the rapid development of the Internet, all walks of life are closely connected with the development of the Internet. Differences in the degree of integration between different industries and the Internet make the leading industries of the national economy constantly change, thus promoting the transformation and upgrading of the industrial structure. The impact of Internet development on the upgrading of industrial structure is not only that the interconnected technologies and platforms change the traditional economic model, but also that the integration of Internet and industry has a profound impact on the industrial structure.

Interface Trends in Human Interaction, the Internet of Things, and Big Data

2018 ◽  
pp. 4210-4222
Author(s):  
William J. Gibbs
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Television News ◽  
Information Services ◽  
Human Interaction ◽  
The Internet ◽  
Media Convergence ◽  
The Impact ◽  
The Internet Of Things

In this chapter, I examine trends in today's news-orientated interfaces and the impact of digital interfaces on news consumption. Digital interfaces will be differentiated from traditional informational sources such as newspapers and television news. Additionally, I will explore several major characteristics or trends germane to today's news interfaces and their implications for how people consume news and, more generally, for how they transform information services: a) rapid innovation, b) interactivity, c) social, d) standardization, e) scale, f) media convergence and, g) the Internet of Things and Big Data.

scholarly journals Research and Analysis of a Real Estate Virtual E-Commerce Model Based on Big Data Under the Background of COVID-19

2021 ◽  
Vol 33 (6) ◽  
pp. 1-16
Author(s):  
Delong Zhu
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Virtual Communities ◽  
Rapid Development ◽  
Real Estate Market ◽  
The Internet ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Model Based

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.

scholarly journals Penyelesaian Sengketa di Luar Pengadilan sebagai Upaya Pemulihan Dampak Kerusakan Lingkungan

2020 ◽  
Vol 7 (1) ◽  
pp. 27-35
Author(s):  
Vera Rimbawani Sushanty
Keyword(s):  
Industrial Development ◽  
Development Process ◽  
Social Economic ◽  
Raw Materials ◽  
Rapid Development ◽  
Environmental Damage ◽  
Environmental Disputes ◽  
Cultural Life ◽  
Long Time ◽  
The Impact

This article aims to review the resolution of environmental disputes outside the court based on Law Number 32 of 2009 concerning Environmental Protection and Management (UUPPLH). The problem is focused on efforts to protect and restore environmental damage. The method used in this research is normative or doctrinal legal research. Data is collected through a literature approach and analyzed qualitatively. The rapid development of the industry, requires natural resources in the form of raw materials and energy sources that are very large as well. The consequence of the industrial development process is the increase in waste produced by the industry. This is very possible for friction between the surrounding communities, which in turn can lead to conflict or dispute. This study concludes that resolving environmental disputes outside the court is considered more beneficial because if it takes a case in court it takes a long time. By shortening the process the impact of environmental damage can be more quickly addressed so that the ecosystem can soon recover and social, economic and cultural life can proceed as it should.

scholarly journals Difference Analysis of the Contribution of E-commerce and Modern Logistics to Regional Economy Based on Wireless Network

2020 ◽  
Author(s):  
Xiaodong Tang ◽  
Gangyi Wang
Keyword(s):  
Economic Growth ◽  
Information Acquisition ◽  
Regional Economy ◽  
Rapid Development ◽  
Active Regions ◽  
Modern Logistics ◽  
Regional Economic ◽  
Logistics Industry ◽  
Regional Economic Structure ◽  
The Impact

Abstract The rapid development of e-commerce has greatly promoted the development of modern logistics. The application level of e-commerce and the application status of modern logistics largely determine the development of a regional economic structure. Under such circumstances, it is particularly important to comprehensively strengthen the research on the impact of e-commerce and modern logistics on the network regional economy. China is as one of the most active regions over the world. Therefore, in this paper, we take the network regional economic as the research object. Firstly, we obtain relevant regional logistics nodes and e-commerce information through wireless networks. Secondly, based on information acquisition, we propose an empirical analysis of the development status of the logistics industry and e-commerce, and we also explain their contributions to regional economic growth. Finally, this paper proposes countermeasures to further increase the contribution of logistics and e-commerce to economic growth. This will provide a reference for building a regionally coordinated logistics e-commerce system and realizing regional economic integration.

Analysising on the Library Services in the Age of Big Data

2014 ◽  
Vol 1044-1045 ◽  
pp. 1066-1070
Author(s):  
Chen Wei ◽  
Xiao Di Wang ◽  
Ran Ma ◽  
Bing Qi Wang
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analysis ◽  
Social Networking ◽  
Data Storage ◽  
Rapid Development ◽  
Structured Data ◽  
The Internet ◽  
Library Services ◽  
Library Service

The advent of the age of big data brings not only the rapid development of the Internet, scientific research, social networking and other fields, but also help and challenges to the application of library. For example, the library service applications in data storage, data mining, data analysis, etc. can identify hidden values behind the data only through systematic organization and analysis of massive structured, unstructured, and semi-structured data, ​​in order to predict the future development of library and promote its better development.

scholarly journals Construction of Live Broadcast Training Platform Based on “Cloud Computing” and “Big Data” and “Wireless Communication Technology”

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhidong Sun ◽  
Xueqing Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Wireless Communication ◽  
Communication Technology ◽  
Security Policy ◽  
High Efficiency ◽  
Rapid Development ◽  
Science And Technology ◽  
Live Broadcast ◽  
The Impact

With the rapid development of information technology, a scientific theory is brought by the rapid progress of science and technology. The advancement of science and technology of the impact on every field, changing the mode of transmission of information, the advent of big data for promotion and dissemination of resources played their part, let more and more people benefit. In the context of cloud computing, big data ushered in another upsurge of development and growth. Given this, the live broadcast training platform, which focuses on enterprise staff training and network education, arises at the right moment. People favor its convenience, real-time performance, and high efficiency. However, the low-value density of big data and cloud computing’s security problem has difficulties constructing a live broadcast training platform. In this paper, the live broadcast training platform’s structure is improved by constructing three modules: the live training module based on cloud computing, the user recommendation module based on big data, and the security policy guarantee module. In addition, to ensure that the trainees can receive training anytime and anywhere, this paper uses wireless communication technology to ensure the quality and speed of all users’ live video sources.

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