scholarly journals Reflection on Prevention and Control of Telecommunication Network Fraud in Big Data Era

2020 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Xingrui Wang
Keyword(s):  
Big Data ◽  
Communication Technology ◽  
Telecommunication Network ◽  
Rapid Development ◽  
Economic Losses ◽  
The Public ◽  
Telecommunication Equipment ◽  
The Masses ◽  
And Control ◽  
Big Data Technology

<p>With the rapid development of smart phones and communication technology, the frequency of communication between the public and society through telecommunication equipment is increasing. At the same time, some lawless elements often cheat the public through telecommunication equipment, which brings irreparable economic losses to the society and the masses to a certain extent. In view of the above problems, this article takes the source of telecommunication fraud as the breakthrough point, analyzes the existing telecommunication fraud processing technology and points out its shortcomings, and then proposes a method of telephone fraud analysis based on big data technology. This technology fills the defects of the existing telecommunication interception technology and provides a new idea for effectively avoiding telecommunication fraud in the future.</p>

scholarly journals Big Data Technology in Intelligent Management and Control System of Drainage Pipe Network

2021 ◽  
Vol 2143 (1) ◽  
pp. 012023
Author(s):  
Su Hu ◽  
Wanhui Zhang
Keyword(s):  
Big Data ◽  
Control System ◽  
Rapid Development ◽  
Economic Losses ◽  
Pipe Network ◽  
Urban Flood ◽  
Drainage Pipe ◽  
Intelligent Management ◽  
And Control ◽  
Big Data Technology

Abstract With the rapid development of urban construction, smart city has become an important trend in the future, which is inseparable from the intellectualization of drainage pipe network. At the same time, with the increasing frequency of urban flood disasters, the old drainage pipe network system will cause significant economic losses, which requires modern cities to establish intelligent management and control of drainage pipe network. However, the situation of drainage facilities in most cities in China is complex, which requires strengthening modern means such as monitoring, operation management and planning services. Therefore, the research on intelligent management and control system of drainage pipe network based on big data technology is of great significance. Firstly, this paper analyzes the importance of intelligent management and control system. Then, this paper puts forward the main algorithms for big data processing. Finally, this paper constructs the intelligent management and control system of drainage pipe network.

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

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Research on Performance Evaluation of Diversified Government Quality Work and Analysis on Application Practice in Nei Mongol

2021 ◽  
Vol 96 ◽  
pp. 01011
Author(s):  
Lei Feng ◽  
Juxiu Huang ◽  
Jingxing Liao
Keyword(s):  
Big Data ◽  
Research Work ◽  
Evaluation Process ◽  
Government Performance ◽  
Relevant Research ◽  
Quality Work ◽  
The Public ◽  
Government Quality ◽  
Local Quality ◽  
Big Data Technology

The evaluation of public satisfaction with government quality work is an evaluation form to evaluate government performance from the perspective of the public. The evaluation process is open and transparent, and the results are relatively objective and fair. Taking the application practice in Nei Mongol as an example, in this paper, an index framework is designed and constructed, 12 leagues and cities in the whole region are covered by the investigation, and the actual effect of local quality work is explored and analyzed in combination with big data technology so as to provide enlightenment and reference for relevant research work in the quality field.

scholarly journals Land Subsidence Caused by Urban Metro Tunnel Construction

2015 ◽  
Vol 2 ◽  
pp. 29
Author(s):  
Yang Hao
Keyword(s):  
Land Subsidence ◽  
Rapid Development ◽  
Economic Losses ◽  
Tunnel Construction ◽  
Safety Hazards ◽  
Tunnel Excavation ◽  
Excavation Process ◽  
Potential Safety ◽  
Metro Tunnel ◽  
And Control

<p>With the development of urban transportation, city buses are unable to accommodate daily ground transportation for the public in life, work and study; therefore, urban metro gains rapid development. However, metro tunnel construction would initiate land subsidence issues which bring significant potential safety hazards and economic losses. In order to reduce irrelevant economic losses, this paper discusses the land subsidence issues from three perspectives: analysis of land subsidence, land subsidence safety judgment and control and shallow tunnel excavation method in tunnel construction used to control land subsidence. The paper indicates that there are major geotechnical engineering issues encountered during urban metro tunnel excavation process. The individuals in charge of implementation should optimize tunnel construction regulations and ensure all works are implemented scientifically, regularly and orderly in order to reduce the impacts on land subsidence caused by tunnel construction.</p>

scholarly journals Public Management Innovation in the Age of Big Data

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang
Keyword(s):  
Big Data ◽  
Public Management ◽  
Great Influence ◽  
Management Innovation ◽  
Daily Lives ◽  
The Public ◽  
Internet Age ◽  
The People ◽  
Big Data Technology

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.

scholarly journals Construction of Ecological Environment Information System Based on Big Data: A Case Study on Dongting Lake Ecological Area

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Diandi Wan ◽  
Shaohua Yin
Keyword(s):  
Information System ◽  
Big Data ◽  
Rapid Development ◽  
Dongting Lake ◽  
Ecological Environment ◽  
Ecological Problem ◽  
Collection Data ◽  
Technology Trend ◽  
Big Data Technology

With the rapid development of cloud computing, Internet of Things, and other technologies, the information technology trend led by “big data” has an impact on all fields. The application of big data technology in the field of ecological environmental protection enables accurate and comprehensive ecological information collection, data analysis, and mining, accurate ecological problem identification, and effective solution. Taking Dongting Lake Ecological Area as an example, this paper constructs an ecological environment information system based on big data and expounds its specific application in water, atmosphere, soil environment monitoring, and pollution control, aiming to provide a reference for the application of big data technology in the field of ecological environment protection in Dongting Lake Ecological Area and more effectively maintain the ecological environmental quality and safety in the area.

scholarly journals Big Data on Machine Learning – A Review

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Balasree K ◽  
Dharmarajan K
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Storage ◽  
Data Analytics ◽  
Rapid Development ◽  
Learning Algorithms ◽  
Big Data Analytics ◽  
Machine Learning Algorithms ◽  
Data Sets ◽  
Big Data Technology

In rapid development of Big Data technology over the recent years, this paper discussing about the Machine Learning (ML) playing role that is based on methods and algorithms to Big Data Processing and Big Data Analytics. In evolutionary fields and computing fields of developments that both are complementing each other. Big Data: The rapid growth of such data solutions needed to be studied and provided to handle then to gain the knowledge from datasets and extracting values due to the data sets are very high in velocity and variety. The Big data analytics are involving and indicating the appropriate data storage and computational outline that enhanced by using Scalable Machine Learning Algorithms and Big Data Analytics then the analytics to reveal the massive amounts of hidden data’s and secret correlations. This type of Analytic information useful for organizations and companies to gain deeper knowledge, development and getting advantages over the competition. When using this Analytics we can predict the accurate implementation over the data. This paper presented about the detailed review of state-of-the-art developments and overview of advantages and challenges in Machine Learning Algorithms over big data analytics.

Construction and Application of Regional Medical Information Sharing System Based on Big Data

2020 ◽  
Vol 11 (3) ◽  
pp. 40-61
Author(s):  
Yuanyuan Zhang
Keyword(s):  
Big Data ◽  
Information Sharing ◽  
Medical Service ◽  
Medical Information ◽  
Rapid Development ◽  
Information Service ◽  
Service Innovation ◽  
Regional Medical ◽  
Network Application ◽  
Big Data Technology

With the popularization of network application and the rapid development of electronic science, big data technology is constantly maturing and widely used in various fields. For the continuous development of regional medical informatization in China, based on the concept of big data technology and regional medical information data sharing, this paper adopts big data to improve the quality and efficiency of medical information service so as to realize the reasonable distribution and sharing of medical resources and provide references for medical service innovation in China.

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