(cont.) To demonstrate its practical value in large-scale engineering systems, the research applied OPN to two space exploration programs and one aircraft design problem. In our experiments, OPN was able to significantly change the modeling and architectural reasoning process by…

In recent years we have seen a confluence of science and technology that portends great impact to business strategy and product development. Just as physicists, chemists and biologists have extended their knowledge to other fields in pursuit of their own…

(cont.) reached very high values early in the experiment and was significantly but slightly lower in FC than in GC. The target position relative to the subject's body did not affect performance, but subjects responded significantly faster when they were…

Banking channel management has become a crucial component in the drive for improved efficiency. Since the channel is the interlocutor between customers and products, banks are leveraging their knowledge of channels to efficiently address perfect product portfolio through the most…

The contribution of this thesis is to provide a tractable framework for supply chains and revenue management problems subject to uncertainty that gives insight into the structure of the optimal policy and requires little knowledge of the underlying probability distributions.…

Flow Accelerated Corrosion (FAC) is the most prevalent material degradation mechanism for low carbon steel in steam-water flow systems. The band of uncertainty in predictions of wear rate due to FAC spans one to two orders of magnitude. Such a…

(cont.) which are then applied to developmentally acquire new object representations. The humanoid robot therefore sees the world through the caregiver's eyes. Building an artificial humanoid robot's brain, even at an infant's cognitive level, has been a long quest which…

This paper examines the issues and the solutions that have been studied in database (DB) integration research and tries to draw lessons from them for knowledge base (KB) integration.

Current approaches to generation for machine translation make use of direct-replacement templates, large grammars, and knowledge-based inferencing techniques. Not only are rules language-specific, but they are too simplistic to handle sentences that exhibit more complex phenomena. Furthermore, these systems are…

The Phase Space is a powerful tool for representing and reasoning about the qualitative behavior of nonlinear dynamical systems. Significant physical phenomena of the dynamical system---periodicity, recurrence, stability and the like---are reflected by outstanding geometric features of the trajectories in…