A theoretical framework for combining multiple knowledge bases with uncertainty

Seyedi, Elham


A methodology for examining the role of adaptive expertise on CAD modeling
Johnson, Michael D.; Öztürk, Elif; Valverde, Lauralee; Yalvac, Bugrahan; McGary, Prentiss; Peng, Xiaobo (2013-01-01)
Computer-aided design (CAD) tools play a significant role in the modern product commercialization environment. As CAD and general CAx technology advances, it becomes more important to understand how engineers adapt their expertise to new environments and problems. This work examines a methodology consisting of a set of surveys, interviews, and exercises with a small group of practicing engineers to assess adaptive expertise (AE) and relate this AE to CAD modeling performance and procedures. Results detail A...
A theoretical framework for comprehensive modeling of steadily fed evaporating droplets and the validity of common assumptions
Akkus, Yigit; ÇETİN, BARBAROS; Dursunkaya, Zafer (Elsevier BV, 2020-12-01)
A theoretical framework is established to model the evaporation from continuously fed droplets, promising tools in the thermal management of high heat flux electronics. Using the framework, a comprehensive model is developed for a hemispherical water droplet resting on a heated flat substrate incorporating all of the relevant transport mechanisms: buoyant and thermocapillary convection inside the droplet and diffusive and convective transport of vapor in the gas domain. At the interface, mass, momentum, and...
A Methodology for utilizing descriptive process models for execution
Çelik, Makbulke Filiz; Demirörs, Onur; Department of Information Systems (2014)
Process models are in the center of unifying various views enhancing organizational e fficiency. In its current state, di fferent models are produced for di fferent purposes for the same processes. This diversity results in redundancy for modeling e fforts and inconsistencies among various models. This study proposes a methodology for organizations to perform business process modeling in a way that produced models can be used both for process description and process execution. Instead of producing di fferen...
A Computational approach to detect inhomogeneities in time series data
Yazıcı, Ceyda; Yozgatlıgil, Ceylan; Batmaz, İnci; Department of Statistics (2017)
Detection of possible inhomogeneity within a series is an important problem in time series data. There are many sources from which inhomogeneity can be originated such as mean shift, variance and trend change, gradual change, or sudden decrease or increase in time series. Since time series has many application areas, the detection of changepoints should be investigated before conducting any analysis. Available methods have certain drawbacks that may lead to unreliable inferences. These include the need of i...
A computational framework of three-dimensional configurational-force-driven brittle crack propagation
Gürses, Ercan (2009-01-01)
We consider a variational formulation of quasi-static brittle fracture and develop a new finite-element-based computational framework for propagation of cracks in three-dimensional bodies We outline a consistent thermodynamical framework for crack propagation in elastic solids and show that both the elastic equilibrium response as well as the local crack evolution follow in a natural format by exploitation of a global Clausius-Planck inequality in the sense of Coleman's method. Consequently, the crack propa...
Citation Formats
E. Seyedi, “A theoretical framework for combining multiple knowledge bases with uncertainty,” Middle East Technical University, 1996.