Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Intelligent vectorization tool.
Download
Al-Ayyoub Abdel-Elah.pdf
Date
1992
Author
Al-Ayyoub, Abdel-Elah
Metadata
Show full item record
Item Usage Stats
87
views
0
downloads
Cite This
Subject Keywords
Parallel processing (Electronic computers).
,
Vector processing (Computer science).
URI
https://hdl.handle.net/11511/11307
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
An intelligent process planning system for prismatic parts using STEP features
Amaitik, Saleh M.; Kilic, S. Engin (Springer Science and Business Media LLC, 2007-01-01)
This paper presents an intelligent process planning system using STEP features (ST-FeatCAPP) for prismatic parts. The system maps a STEP AP224 XML data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and corresponding STEP-NC in XML format. It carries out several stages of process planning such as operations selection, tool selection, machining parameters determination, machine tools selection and setup planning. A h...
An assessment and analysis tool for statistical process control of software process
Kırbaş, Serkan; Doğru, Ali Hikmet; Department of Computer Engineering (2007)
Statistical process control (SPC) which includes very powerful techniques used in other mature engineering disciplines for providing process control is not used by many software organizations. In software engineering domain, SPC is currently utilized only by organizations which have high maturity levels according to the process improvement models like CMM, ISO/IEC 15504 and CMMI. Guidelines and software tools to implement SPC techniques should be developed for effective use and dissemination of SPC especial...
An agent-based order review and release system in make-to-order production
Aktuğ, Onur; Kandiller, Levent; Department of Industrial Engineering (2004)
Workload control (WLC) systems constitute a framework mainly for the inputoutput control systems which regulate both jobs̕ queues into the workshop and the flow of finished goods out of the workshop. This study is concerned with the job entry and release level of WLC which maintains a pool of unreleased jobs for the controlled release of jobs. While most of the studies in WLC concepts deal with the centralized workload control, our study decentralizes the job entry and release control and makes workstations...
A family of deployable polygons and polyhedra
Kiper, Goekhan; Söylemez, Eres; Kişisel, Ali Ulaş Özgür (Elsevier BV, 2008-05-01)
A new linkage type for resizing polygonal and polyhedral shapes is proposed. The single degree-of-freedom planar linkages considered mainly consist of links connected by revolute joints. It is shown that the group of mechanisms obtained realize Cardanic Motion. The polyhedral linkages proposed are constructed by implementing the proposed planar linkages on the faces and interconnecting them by links at the vertices to retain the solid angles of the polyhedral shape of interest.
A hierarchical object localization and image retrieval framework
Uysal, Mutlu; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2006)
This thesis proposes an object localization and image retrieval framework, which trains a discriminative feature set for each object class. For this purpose, a hierarchical learning architecture, together with a Neighborhood Tree is introduced for object labeling. Initially, a large variety of features are extracted from the regions of the pre-segmented images. These features are, then, fed to the training module, which selects the "best set of representative features", suppressing relatively less important...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A.-E. Al-Ayyoub, “An Intelligent vectorization tool.,” Ph.D. - Doctoral Program, Middle East Technical University, 1992.