Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data

2015 ◽  
pp. 3-14 ◽  
Author(s):  
Rebekka Alm ◽  
Mario Aehnelt ◽  
Steffen Hadlak ◽  
Bodo Urban
Keyword(s):  
Domain Ontologies ◽  
Manufacturing Data

Extractions of Garment Manufacturing Data from 3D Whole Body Scans

1998 ◽  
Author(s):  
Michael L. McLean ◽  
Newsom Sr. ◽  
Benjamin
Keyword(s):  
Whole Body ◽  
Garment Manufacturing ◽  
Manufacturing Data

scholarly journals Improvement of Social Manufacturing Data Performance on Industry 4.0 Era

2021 ◽  
Vol 1823 (1) ◽  
pp. 012025
Author(s):  
Tri Siwi Nugrahani ◽  
Harlina Safitri ◽  
Sulkhanul Umam ◽  
Evi Grediani
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Data

Statistical modeling of MOS devices and ICs based on end-of-line manufacturing data

2002 ◽  
Author(s):  
Q. Zhang ◽  
J.J. Liou ◽  
J. McMacken ◽  
K. Stiles ◽  
J. Thomson ◽  
...  
Keyword(s):  
Statistical Modeling ◽  
Mos Devices ◽  
Manufacturing Data

Condition Monitoring Methodology for Manufacturing and Design

1998 ◽  
Author(s):  
Irem Y. Tumer ◽  
Kristin L. Wood ◽  
Ilene J. Busch-Vishniac
Keyword(s):  
Milling Process ◽  
Monitoring Methods ◽  
Design And Manufacturing ◽  
Systematic Methodology ◽  
Surface Deviations ◽  
Part Surface ◽  
Tool Vibrations ◽  
Changes Over Time ◽  
Part Production ◽  
Manufacturing Data

Abstract Part production requires constant monitoring to assure the effective manufacturing of high-quality components. The choice of monitoring methods can become a crucial factor in the decisions made during and prior to manufacturing. In an ideal world, designers and manufacturers will work together to interpret manufacturing and part data to assure the elimination of faults in manufacturing. However, manufacturing still lacks mathematically robust means of interpreting the manufacturing data so that a channel of communication can be established between design and manufacturing. To address part production concerns, we present a systematic methodology to interpret manufacturing data based on signals from manufacturing (e.g., tool vibrations, part surface deviations). These signals are assumed to contain a fingerprint of the manufacturing condition. The method presented in this paper is based on a mathematical transform to decompose the signals into their significant modes and monitor their changes over time. The methodology is meant to help designers and manufacturers make informed decisions about a machine and/or part condition. An example from a milling process is used to illustrate the method’s details.

A semi search algorithm towards semantic search using domain ontologies

2017 ◽  
Vol 2 (3) ◽  
pp. 191
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Search Algorithm ◽  
Semantic Search ◽  
Domain Ontologies

Web Services Composition Algorithm Based on Mine Domain Ontology

2011 ◽  
Vol 403-408 ◽  
pp. 1900-1904 ◽  
Author(s):  
Zhen Wu Wang
Keyword(s):  
Software Engineering ◽  
Web Services ◽  
Semantic Information ◽  
Domain Ontology ◽  
Telecommunication Service ◽  
Formal Description ◽  
Web Services Composition ◽  
Services Composition ◽  
Functional Attributes ◽  
Domain Ontologies

Through analyzing the commonness of mine domain, the paper proposes a composition algorithm of web services based on mine ontology in order to integrate business of mine industries. The paper specially gives the formal description of mine domain ontologies, and proposes the composition algorithm which uses mine domain ontologies. The practice proves that web services composition in certain domain can enhance the efficiency and qulity of services composition. Web services are rapidly changing the landscape of software engineering on account of their outstanding traits, for example big granularity, loose coupling and late-binding mechanisms.Web services selection is the foundation of services composition,and selection methods can be divided into two classes: functional attributes based web services selection method and QoS based web services selection method.The first method is usually used to match single web service and recent literature[1] discusses global function matching problem.Because WSDL lacks semantic information, some scholars[2][3] add semantic information to WSDL in order to increase services matching quality. The second method usually discusses QoS in the global scope,but the selection efficiency and quality are the considered issue. Recent literatures[1][4] add semantic information to QoS attributes ,and literature[2] considers web services selection using the two methods comprehensively. Web services selection usually does not involve certain domain, but the theory and practice of software engineering prove that software reuse in certain domain is easier to succeed. For web services selection based on functional attributes, services selection in certain doamin(for example mine domain) is easier to add semantic information to WSDL because of domain ontology ,and for services selection based on QoS attributes, we can design more appropriate QoS attribute model according to domain requirements. So researching web services selection in certain domain has theoretical and realistic significance. In fact, some literatures begin to research web services selection and composition in certain domain. Literature[3] proposes an intelligent telecommunication service model based on semantic web services according to design the telecommunication service domain ontology, literature[5] discusses web services detection based on oil and gas domain ontology automaticly, and has a good effect. The paper proposes a composition algorithm of web services based on mine domain ontology and the details is organized as follows. Section I gives the formal description of mine domain ontology; Section II is the composition algorithm which bases on mine domain ontology; Section III concludes this paper.

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