Network Entity Landmark Mining Technology

Author(s):  
Yong Gan ◽  
Yuanbo Liu ◽  
Helin Zhang ◽  
Dongwei Jia
Keyword(s):  
Author(s):  
Richard C. Kittler

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.


2021 ◽  
Vol 13 (13) ◽  
pp. 7005
Author(s):  
Yu Ning

Draft commercial exploitation regulations have been on the agenda of the ISA since several 15-year exploration contracts expired a few years ago. Given the ineffective implementation in practice and the ignored chapter in several mining regulations on the transfer of mining technology, the future Enterprise and developing countries may take a more positive approach to the transfer of mining technology by striking a delicate balance between the provisions on the protection of intellectual property and those on capacity building under the framework of UNCLOS and the 1994 Agreement, through reciprocal and mutual beneficial means such as direct technology purchasing and investment cooperation. The International Seabed Authority, as the competent inter-governmental organization, has the duty to foster favorable conditions for such transfer.


Sign in / Sign up

Export Citation Format

Share Document