scholarly journals Improving Ammonia Emission Modeling and Inventories by Data Mining and Intelligent Interpretation of the National Air Emission Monitoring Study Database

Atmosphere ◽  
2011 ◽  
Vol 2 (2) ◽  
pp. 110-128 ◽  
Author(s):  
Ji-Qin Ni ◽  
Erin L. Cortus ◽  
Albert J. Heber
Keyword(s):  
Data Mining ◽  
Ammonia Emission ◽  
Air Emission ◽  
Emission Monitoring ◽  
Monitoring Study ◽  
Emission Modeling ◽  
Study Database

Ammonia Emission Measurements for Light-Duty Gasoline Vehicles in China and Implications for Emission Modeling

2018 ◽  
Vol 52 (19) ◽  
pp. 11223-11231 ◽  
Author(s):  
Cheng Huang ◽  
Qingyao Hu ◽  
Shengrong Lou ◽  
Junjie Tian ◽  
Ruining Wang ◽  
...  
Keyword(s):  
Ammonia Emission ◽  
Light Duty ◽  
Gasoline Vehicles ◽  
Emission Modeling

Self-Validating Inferential Sensors with Application to Air Emission Monitoring

1997 ◽  
Vol 36 (5) ◽  
pp. 1675-1685 ◽  
Author(s):  
S. Joe Qin ◽  
Hongyu Yue ◽  
Ricardo Dunia
Keyword(s):  
Air Emission ◽  
Emission Monitoring ◽  
Inferential Sensors

Comparison between two systems for ammonia emission monitoring in broiler houses

2007 ◽  
Author(s):  
Maira F.P Amaral ◽  
Richard S Gates ◽  
Douglas G Overhults ◽  
Ilda F.F Tinôco ◽  
Erin G Wilkerson ◽  
...  
Keyword(s):  
Ammonia Emission ◽  
Emission Monitoring ◽  
Two Systems

scholarly journals Estimation of Students’ Graduation Using Multiple Linear Regression Method

2017 ◽  
Vol 2 (1) ◽  
pp. 29-36
Author(s):  
Bintang Dewi Fajar Kurniatullah ◽  
Yuventius Tyas Catur Pramudi
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Study Time ◽  
Regression Equation ◽  
Linear Regression Method ◽  
Regression Estimation ◽  
Multiple Linear Regression Method ◽  
Monitoring Study

Utilization of students’ academic data to produce information used by management in monitoring students’ study period on Information System Department. Multiple linier regression method will produce multiple linier regression equation used for estimating students’ graduation equipped with prototype. According to analysis carried out by using nine variable SKS1, SKS2, SKS3, SKS4, IPS1, IPS2, IPS3, IPS4, and the number of repeated courses of 2008 to 2012 the multiple linier regression equation is Y = 13.49  +  0.099 X1  + (-0.068) X2 + 0.025 X3 + (-0.059) X4 + (-0.585) X5 + (-0.443) X6 + (-0.155) X7 + (-0.368) X8 + (-0.082) X9. From the equation there is an error of MSE and RMSE that is equal to 0.1168 and 0.3418. The prototype uses a PHP-based program using sublime text and XAMPP. The prototype monitoring the students’ study time in this research is very helpful if supported by management. Keywords: Data mining, multiple linear regression, estimation, monitoring, study time

The Whole Plant Approach to Air Emission Modeling for Neshap Compliance

2006 ◽  
Vol 2006 (5) ◽  
pp. 6685-6694
Author(s):  
David Moye ◽  
Victor Boero ◽  
Everett Gill
Keyword(s):  
Air Emission ◽  
Whole Plant ◽  
Emission Modeling
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