Research on Association Rules Mining of Atmospheric Environment Monitoring Data

2020 ◽  
pp. 86-98
Author(s):  
Ziling Li ◽  
Wei Zhou ◽  
Xiaoqian Liu ◽  
Yixin Qian ◽  
Chunying Wang ◽  
...  
Keyword(s):  
Association Rules ◽  
Monitoring Data ◽  
Atmospheric Environment ◽  
Environment Monitoring ◽  
Association Rules Mining

scholarly journals Optimization and Simulation of Atmospheric Environment Monitoring System Based on Wireless Sensor

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhenqiang Feng
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Smart City ◽  
Monitoring Data ◽  
Atmospheric Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Virtual Force ◽  
Sensor Module

With the acceleration of urbanization, the problems in urban construction are becoming increasingly prominent, especially in air pollution. In order to deal with a series of problems brought by urbanization, the state has formulated the strategic layout of smart city construction. As an important measure and practice for the development of smart city, atmospheric environment monitoring is the premise of controlling atmospheric environment problems and plays a great role in environmental protection. The traditional automatic atmospheric environment monitoring station has complex structure, expensive price, and harsh working conditions, which is difficult to be popularized throughout the country. Aiming at the problems of poor expansibility and low intelligence of atmospheric environment monitoring system, an atmospheric environment monitoring system based on wireless sensor network is proposed. The system designs sensor module, networking module, gateway module, and monitoring interface, studies the accuracy of data collected by the system and the coverage of wireless sensor network, filters the environmental data collected by the sensor module, optimizes the layout of networking module by using improved virtual force algorithm, and finally tests the system. The experimental results show that the system realizes the remote monitoring of temperature, humidity, air pressure, and PM2.5 data, and the monitoring data is real and reliable. The improved virtual force algorithm improves the coverage of wireless sensor networks. Comparing the data collected by the system with the monitoring data of the cause control station, the average relative errors of PM2.5 and other particle parameters and NOx and other gas parameters monitored by the system are 3.81% and 3.48%, respectively; the system can be widely used in various environmental monitoring fields.

scholarly journals Compressed Sensing of 3D Marine Environment Monitoring Data Based on Spatiotemporal Correlation

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 32634-32649
Author(s):  
Ge Liu ◽  
Guosheng Rui ◽  
Wenbiao Tian ◽  
Liyao Wu ◽  
Tiantian Cui ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Marine Environment ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Spatiotemporal Correlation ◽  
Marine Environment Monitoring

Using Association Rules Mining to Characterize of Loss of Control Eating in Childhood

Appetite ◽  
2021 ◽  
pp. 105236
Author(s):  
Alaina L. Pearce ◽  
Timothy R. Brick ◽  
Travis Masterson ◽  
Shana Adise ◽  
S. Nicole Fearnbach ◽  
...  
Keyword(s):  
Association Rules ◽  
Loss Of Control ◽  
Loss Of Control Eating ◽  
Association Rules Mining
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