000 -LEADER |
fixed length control field |
a |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240527115456.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240527b xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
AIKTC-KRRC |
Transcribing agency |
AIKTC-KRRC |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
23458 |
Author |
Curtis, Shane K. |
245 ## - TITLE STATEMENT |
Title |
Characterizing the effects of learning when reverse engineering multiple samples of the same product |
250 ## - EDITION STATEMENT |
Volume, Issue number |
Vol.135(1), Jan |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
New York |
Name of publisher, distributor, etc. |
ASME |
Year |
2013 |
300 ## - PHYSICAL DESCRIPTION |
Pagination |
1-8p. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Reverse engineering is the process of extracting information about a product from the product itself. An estimate of the barrier and time to extract information from any product is useful for the original designer and those reverse engineering, as both are affected by reverse engineering activities. The authors have previously presented a set of metrics and parameters to estimate the barrier and time to reverse engineer a product once. This work has laid the foundation for the developments of the current paper, which address the issue of characterizing the reverse engineering time and barrier when multiple samples of the same product are reverse engineered. Frequently in practice, several samples of the same product are reverse engineered to increase accuracy, extract tolerances, or to gather additional information from the product. In this paper, we introduce metrics that (i) characterize learning in the reverse engineering process as additional product samples are evaluated and (ii) estimate the total time to reverse engineer multiple samples of the same product. Additionally, an example of reverse engineering parts from a control valve is introduced to illustrate how to use the newly developed metrics and to serve as empirical validation. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4626 |
Topical term or geographic name entry element |
Mechanical Engineering |
700 ## - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
23459 |
Co-Author |
Harston, Stephen P. |
773 0# - HOST ITEM ENTRY |
Title |
Journal of mechanical design |
Place, publisher, and date of publication |
New York ASME |
856 ## - ELECTRONIC LOCATION AND ACCESS |
URL |
https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/135/1/011002/375667/Characterizing-the-Effects-of-Learning-When?redirectedFrom=fulltext |
Link text |
Click here |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Articles Abstract Database |