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This paper is intended to contribute to the ongoing discussion of selected concepts related to the topic of technical risk or uncertainty in the model-based design of physical artifacts. The paper focuses on the use of analytic models and numerical simulation in the multidisciplinary design optimization process. It considers how issues of physical process(More)
In this research a Collaborative Optimization (CO) approach for multidisciplinary systems design is used to develop a decision based design framework for non-deterministic optimization. To date CO strategies have been developed for use in application to deterministic systems design problems. In this research the decision based design (DBD) framework(More)
While simulation based design tools continue to be advanced at unprecedented rates, little attention has been paid to how these tools interact with other advanced design tools and how that interaction influences the multidisciplinary system analysis and design processes. In this research an investigation of how uncertainty propagates through a(More)
In previous work we have developed and implemented a mathematical construct referred to as " Implicit Uncertainty Propagation (IUP) " for estimating uncertainties within the bilevel optimization framework of collaborative optimization (CO). The implicit uncertainty estimates were used to develop a robust collaborative optimization framework, which is(More)
PURPOSE To establish an alternative method to design and fabricate an obturator prosthesis within the maxillectomy defect using a computer-aided design (CAD) and rapid prototyping (RP) technique and to evaluate the functional results of this technique. MATERIALS AND METHODS Eleven patients with acquired maxillary defects resulting from head and neck(More)
This paper proposes a new non-fragile fault tolerant guaranteed cost controller design method for a class of Takagi-Sugeno (T-S) fuzzy uncertain systems with state-delay. Two sufficient conditions for the asymptotic stability of the closed-loop fuzzy system in actuator failure have been derived under the condition that the controller uncertainties are(More)
Methods based on pattern recognition such as support vector machine or neural network, can overcome the deficiency of traditional sound source localization algorithms which have an insufficient robust ability in the harsh environment of small SNR and severe reverberation. Among those methods, Naive-Bayes classifier has a high accuracy to locate sound source(More)
Retrieving the location of a mobile device by matching a query image to a database of geo-tagged imagery is one popular application of content-based image retrieval (CBIR). Standard CBIR-based approaches exploit appearance features of the environment for the matching process. Many locations, however, are characterized by distinct structural (geometric)(More)