Model Based Availability Management: The Availability Management Framework

2012 ◽  
pp. 133-192
Author(s):  
Maria Toeroe
2018 ◽  
Vol 241 ◽  
pp. 67-77 ◽  
Author(s):  
Jewook Moon ◽  
Chanwoo Lee ◽  
Sangho Park ◽  
Yanghoon Kim ◽  
Hangbae Chang

2013 ◽  
Vol 411-414 ◽  
pp. 1099-1103
Author(s):  
Zhen Yu Yang ◽  
Jun Zhou

The knowledge sharing is one of the most important characteristics of knowledge management. In the traditional model of knowledge management, employees only select the sharing knowledge through independent action, and operating behavior between employees of the same type did not reflect reference. This paper is the integration of the recommendation algorithm of data mining and the traditional knowledge ontology knowledge management model, proposing the process enterprise knowledge management model based on the recommendation algorithm, and knowledge management framework of knowledge as the main body, the field of process-driven and recommendation process for the behavior. To recommend the appropriate knowledge for the staff improves the efficiency of enterprise employees staff to the knowledge and promote the application and innovation of knowledge of the enterprise.


2012 ◽  
Vol 616-618 ◽  
pp. 770-773
Author(s):  
Jing Shu Yuan

In this paper, a whole fractured curve data model management framework is proposed, which defines all kinds of components which integrates many functions, such as fractured curve data parsing, uploading, curve data managing, curve querying and curve playbacking and so on. By means of meta-data, a kind of meta-data data model is constructed which is employed to describe fractured curve formation, makes the architecture model possessing scalability. The architecture model proposed is able to solve complicated fractured curve data management issue, the system has been applied to Daqing field.


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