Development and Validation of A Decision Support System for the Real-time Monitoring and Management of Reservoir Turbidity Flows: A Case Study for Daecheong Dam

2008 ◽  
Vol 41 (3) ◽  
pp. 293-303 ◽  
Author(s):  
Se-Woong Chung ◽  
Yong-Rak Jung ◽  
Ick-Hwan Ko ◽  
Nam-Il Kim
2010 ◽  
Vol 439-440 ◽  
pp. 727-731
Author(s):  
Chun Ping Yan ◽  
Qing Hua Zhou ◽  
Qi Feng Wang ◽  
Fei Liu

The real-time, the consistency and the accuracy of information transmission in cutting process are poor, and it is hard for manufacturing enterprises to enhance the machining efficiency and quality. Consequently, based on the real-time dynamic environment of cutting system and oriented to first-line production and operating workers, a networked optimal decision support system for cutting parameters was constructed; its system structure and function structure were described and its running mode was analyzed likewise. On the basis of research on the normative description of cutting process knowledge, an ontology-based description method of cutting process knowledge was proposed.


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