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2.6.1 Model Driven Design with Matlab
Author(s) -
Reitz Elliott
Publication year - 2002
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2002.tb02573.x
Subject(s) - computer science , sort , classifier (uml) , schedule , component (thermodynamics) , matlab , rapid prototyping , software engineering , artificial intelligence , data mining , engineering , database , operating system , mechanical engineering , physics , thermodynamics
The technical challenge of recognizing pertinent information on images of mail‐pieces (such as indicia) has encouraged the integration of multiple technologies into a complex modelling environment. The modelling environment was developed to build and select the appropriate algorithms and subsystem component designs. A C/C++ library has been developed for components of the system model that are selected for product application. Prototyping has been extensively used in all of the environments. Example products developed with this approach that have been delivered to customers include: a classifier algorithm for character recognition (USPS RIP2), a Pre‐sort‐Label detection device (USPS APPS CFT), and a Non‐Address‐Attribute‐System for recognition of indicia (UK Royal Mail Address Interpretation). The results have exceeded expectations for schedule, performance, and development costs.