IoT based Schistosomiasis Monitoring for More Efficient Disease Prediction and Control Model

Author(s):  
Bassirou Kasse ◽  
Bamba Gueye ◽  
Moussa Diallo ◽  
Fiorenantsoa Santatra ◽  
Halima Elbiaze
2013 ◽  
Vol 19 (12) ◽  
Author(s):  
Peter M. Rabinowitz ◽  
Richard Kock ◽  
Malika Kachani ◽  
Rebekah Kunkel ◽  
Jason Thomas ◽  
...  

2019 ◽  
Vol 38 (2019) ◽  
pp. 884-891
Author(s):  
Zhuang-nian Li ◽  
Man-sheng Chu ◽  
Zheng-gen Liu ◽  
Gen-ji Ruan ◽  
Bao-feng Li

AbstractBlast furnace heat is the key to the blast furnace’s high efficiency and stable operation, and it is difficult to maintain a suitable temperature for large blast furnace operations. When designing the furnace heat prediction and control model, parameters with good reliability and measurability should be chosen to avoid using less accurate parameters and to ensure the accuracy and practicability of the model. This paper presents an effective model for large blast furnace temperature prediction and control. Using thermal equilibrium and the carbon-oxygen balance of the blast furnace’s high-temperature zone, the slag-iron heat index was calculated. Using the relation between the molten iron temperature and slag-iron heat index, the furnace heat parameter can be calculated while production conditions are changed,which can guide furnace heat control.


2021 ◽  
Vol 198 ◽  
pp. 108186
Author(s):  
Xiaopeng Zhai ◽  
Hui Chen ◽  
Yishan Lou ◽  
Huimei Wu

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