Prevention and control of nongovernmental financial risk and dynamic monitoring system

2018 ◽  
Vol 21 (5) ◽  
pp. 1043-1048
Author(s):  
Shi-Jun Zhang ◽  
Gui-Hua Yu
Keyword(s):  
Monitoring System ◽  
Prevention And Control ◽  
Financial Risk ◽  
Dynamic Monitoring ◽  
And Control

scholarly journals Design of Campus Financial Risk Prevention and Control Platform under the Background of Big Data

2021 ◽  
Vol 257 ◽  
pp. 02040
Author(s):  
Sijin Li
Keyword(s):  
College Students ◽  
Big Data ◽  
Prevention And Control ◽  
Financial Risk ◽  
Risk Prevention ◽  
Financial Fraud ◽  
The Internet ◽  
Financial Industry ◽  
Control Factors ◽  
And Control

With the continuous development of information technology and the gradual rise of the Internet financial industry, the incidence of campus fraud is higher and higher, and the financial fraud against college students has gradually attracted widespread attention. In order to study the risk prevention and control factors of College Students’ financial fraud under the background of big data, an information platform is established to release risk information in real time and analyze the risk factors of College Students’ financial fraud. The Internet, big data and campus financial risk prevention and control are combined to improve the financial environment of university campus, improve the prevention awareness of college students, and reduce unnecessary losses.

Forest Fire Monitoring System Based on Image Analysis

2011 ◽  
Vol 267 ◽  
pp. 155-159
Author(s):  
Xiao Ling Li
Keyword(s):  
Image Analysis ◽  
Monitoring System ◽  
Forest Fires ◽  
Dynamic Range ◽  
Dynamic Monitoring ◽  
Environmental Complexity ◽  
Dynamic Image ◽  
Image Area ◽  
Dynamic Image Analysis ◽  
And Control

Large forest fires are very hazardous and often cause greater losses. However, due to the vast coverage of forests and the environmental complexity, monitoring which relies on sensor detection of direct contact almost cannot achieve its monitoring function. In this paper, the author proposes that long-range images will first be acquired and so do the images of a larger dynamic range of the observed region, then an embedded video monitoring system will be formed realizing a dynamic monitoring. With the techniques of dynamic image analysis and processing, dynamic image alarms and control signals can be obtained and such videos will be transmitted over the Internet in real-time. Experiments shows this system respond to fires with a fast speed of less than 20ms and the control of fire is highly accurate with a dynamic image area that is less than 1% of the background area.

Linking decision-making research and cancer prevention and control: Important themes.

2005 ◽  
Vol 24 (4, Suppl) ◽  
pp. S106-S110 ◽  
Author(s):  
Kevin D. McCaul ◽  
Ellen Peters ◽  
Wendy Nelson ◽  
Michael Stefanek
Keyword(s):  
Decision Making ◽  
Cancer Prevention ◽  
Prevention And Control ◽  
Cancer Prevention And Control ◽  
And Control
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