Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
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
MODELS AND MODELING
Date
2011-07-15
Author
Lesh, Richard
Bas, Sinem
Ader, Engin
ÖZEL, SERKAN
Sriraman, Bharath
Aygun, Berna
Turker, Belma
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
105
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/68432
Collections
Department of Mathematics, Article
Suggestions
OpenMETU
Core
Modeling variability in component oriented software engineering
Kaya, Muhammed Çağrı; Doğru, Ali Hikmet; Department of Computer Engineering (2015)
A key factor for achieving flexible component oriented applications is to make the components possbile to change and adapt instead of creating and using them from scratch. In order to fulfil various needs in time with little effort, a new metamodel is proposed that establishes a variability specification and system configuration environment for Component Oriented Software Engineering Modeling Language (COSEML). Variability is integrated to COSEML that can be viewed as an Architectural Description Language e...
MODELS AS SELF-AWARE COGNITIVE AGENTS AND ADAPTIVE MEDIATORS FOR MODEL-DRIVEN SCIENCE
Yilmaz, Levent; Chakladar, Sritika; Doud, Kyle; Smith, Alice E.; Teran-Somohano, Alejandro; Oğuztüzün, Mehmet Halit S.; Cam, Sema; Dayibas, Orcun; Gorur, Bilge K. (2017-12-06)
There are often concerns about the reliability of simulation results due to improper design of experiments, limited support in the execution and analysis of experiments, and lack of integrated computational frameworks for model learning through simulation experiments. Such issues result in flawed analysis as well as misdirected human and computational effort. We put forward a methodological basis, which aims to (1) explore the utility of viewing models as adaptive agents that mediate among domain theories, ...
Modeling cultures of the embedded software industry: feedback from the field
Akdur, Deniz; Say, Bilge; Demirörs, Onur (Springer Science and Business Media LLC, 2020-06-01)
Engineering of modern embedded systems requires complex technical, managerial and operational processes. To cope with the complexity, modeling is a commonly used approach in the embedded software industry. The modeling approaches in embedded software vary since the characteristics of modeling such as purpose, medium type and life cycle phase differ among systems and industrial sectors. The objective of this paper is to detail the use of a characterization model MAPforES ("Modeling Approach Patterns for Embe...
models, EXperiments and high PERformance computing for Turbine mechanical Integrity and Structural dynamics in Europe (EXPERTISE)
Özgüven, Hasan Nevzat(2021-2-28)
Energy and Mobility are two primary driving forces in the 21st century. Development of incremental and disruptive technologies will have key impacts on the world’s societies, and on safety, security and competitiveness of Europe. Amongst those technologies, gas turbines will play a major role. Recovery of shale gas depends decisively on compressors. Modern gas supplied power plants are bridging towards the age of renewable energies. Aeroengines are to undergo the most massive changes in their history with t...
Models for capacity and electricity market design
Vasin, Alexander; Kartunova, Polina; Weber, Gerhard Wilhelm (2013-09-01)
The paper employs Operations Research methods for analysis of electricity and capacity markets. We provide two algorithms that determine the optimal capacity structure with account of fixed and variable costs. The first one relates to the case where there are several capacity types, and for each type the capacity constraint is not binding. The second algorithm is applicable when electricity is produced by standard small generators with the same capacity and different costs. Then we study two typical archite...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
R. Lesh et al., “MODELS AND MODELING,” pp. 179–179, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68432.