東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Feature-based hierarchical knowledge...

Zhao, Wei.

FindBook

Google Book

Amazon

博客來

Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support./
作者:	Zhao, Wei.
面頁冊數:	245 p.
附註:	Adviser: Dimitri Mavris.
Contained By:	Dissertation Abstracts International68-05B.
標題:	Engineering, Aerospace. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3261748

Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support.
Zhao, Wei.

Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support. - 245 p.

Adviser: Dimitri Mavris.

Thesis (Ph.D.)--Georgia Institute of Technology, 2007.

The design process of aerospace systems is becoming more and more complex. As the process is progressively becoming enterprise-wide, it involves multiple vendors and encompasses the entire life cycle of the system, as well as a system-of-systems perspective. The amount of data and information generated under this paradigm has increased exponentially creating a difficult situation as it pertains to data storage, management, and retrieval. Furthermore, the data themselves are not suitable or adequate for use in most cases and must be translated into knowledge with a proper level of abstraction. Adding to the problem is the fact that the knowledge discovery process needed to support the growth of data in aerospace systems design has not been developed to the appropriate level. In fact, important design decisions are often made without sufficient understanding of their overall impact on the aircraft's life, because the data have not been efficiently converted and interpreted in time to support design.Subjects--Topical Terms:

1018395
Engineering, Aerospace.

Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support.
LDR:02657nam 2200277 a 45 001 955366
005 20110622
008 110622s2007 ||||||||||||||||| ||eng d
035 $a (UMI)AAI3261748
035 $a AAI3261748
040 $a UMI $c UMI
100 1 $a Zhao, Wei. $3 893199
245 1 0 $a Feature-based hierarchical knowledge engineering for aircraft life cycle design decision support.
300 $a 245 p.
500 $a Adviser: Dimitri Mavris.
500 $a Source: Dissertation Abstracts International, Volume: 68-05, Section: B, page: 3191.
502 $a Thesis (Ph.D.)--Georgia Institute of Technology, 2007.
520 $a The design process of aerospace systems is becoming more and more complex. As the process is progressively becoming enterprise-wide, it involves multiple vendors and encompasses the entire life cycle of the system, as well as a system-of-systems perspective. The amount of data and information generated under this paradigm has increased exponentially creating a difficult situation as it pertains to data storage, management, and retrieval. Furthermore, the data themselves are not suitable or adequate for use in most cases and must be translated into knowledge with a proper level of abstraction. Adding to the problem is the fact that the knowledge discovery process needed to support the growth of data in aerospace systems design has not been developed to the appropriate level. In fact, important design decisions are often made without sufficient understanding of their overall impact on the aircraft's life, because the data have not been efficiently converted and interpreted in time to support design.
520 $a In order to make the design process adapt to the life cycle centric requirement, this thesis proposes a methodology to provide the necessary supporting knowledge for better design decision making. The primary contribution is the establishment of a knowledge engineering framework for design decision support to effectively discover knowledge from the existing data, and efficiently manage and present the knowledge throughout all phases of the aircraft life cycle. The second contribution is the proposed methodology on the feature generation and exploration, which is used to improve the process of knowledge discovery process significantly. In addition, the proposed work demonstrates several multimedia-based approaches on knowledge presentation.
590 $a School code: 0078.
650 4 $a Engineering, Aerospace. $3 1018395
650 4 $a Engineering, System Science. $3 1018128
690 $a 0538
690 $a 0790
710 2 $a Georgia Institute of Technology. $3 696730
773 0 $t Dissertation Abstracts International $g 68-05B.
790 $a 0078
790 1 0 $a Mavris, Dimitri, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3261748