Tolga Kurtoglu

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We describe a trainable recognizer for multi-stroke symbols. The learned definitions are described in terms of the constituent geometric primitives (lines and arcs), the properties of individual primitives, and the geometric relationships between them. A definition is learned by examining a few examples of a symbol and identifying which properties and(More)
Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter of a failed unit. Traditional approaches to solving this problem include expert/rule-based, model-based, and data-driven methods. Each approach (and various techniques within each approach) use(More)
Ensuring the reliability of complex software intensive systems is becoming a critical requirement for all military and commercial aerospace applications, and becomes especially more challenging when implemented for autonomous and evolving deployments required of such applications. To ensure reliability, this research asserts that knowledge, data, and models(More)
1 Introduction Few computational tools exist to assist designers during the conceptual phase of design, and design success is often heavily weighted on personal experience and innate ability. Many well-known methods (e.g. brainstorming, intrinsic and extrinsic searches, and morphological analysis) are designed to stimulate a designer's creativity, but(More)
A framework to compare and evaluate diagnosis algorithms (DAs) has been created jointly by NASA Ames Research Center and PARC. In this paper, we present the first concrete implementation of this framework as a competition called DXC'09. The goal of this competition was to evaluate and compare DAs in a common platform and to determine a winner based on(More)
Modelica models are typically used for simulation to investigate properties of a possible system designs. This is often done manually or combined with optimization to select the best design parameters. It is desirable to have systematic and partly automated support for exploration of the design space of possible designs and verifying their properties vs.(More)
In this paper, we present our findings on the development of a taxonomy for electrome-chanical components. In building this taxonomy, we have two main objectives: First, we strive to establish a framework for future computational tools that archive, search, or reuse component knowledge during the conceptual phase of design. Second, we aim to define a(More)
Early stage design provides the greatest opportunities to explore design alternatives and perform trade studies before costly design decisions are made. The goal of this research is to develop a simulation-based framework that enables architectural analysis of complex systems during the conceptual design phase. Using this framework, design teams can(More)
The current version of the Concept Generator, an automated mathematically-based design tool, is studied in an effort to validate its general approach and establish research goals for further development. As part of the study, four undergraduate engineering researchers from the University of Missouri-Rolla and University of Texas at Austin execute a(More)