this paper presents a k- turbulence model for simulation of steady current and itsinduced vortex shedding caused by the presence of an offshore pipeline. performance of the modelaround a circular cylinder above a wall with gap to diameter ratios of 0.1, 0.35 and 0.5 underdifferent flow regimes with reynolds numbers of 1500, 2500 and 7000 is studied. the flow field iscomputed with solving the re...

This paper presents a method for inducing a context-sensitive conditional probability context-free grammar from an unlabeled bracketed corpus using local contextual information and describes a natural language parsing model which uses a probabilitybased scoring function of the grammar to rank parses of a sentence. This method uses clustering techniques to group brackets in a corpus into a numbe...

We present an automated light calibration pipeline for free-form acquisition of shape and reflectance of objects using common off-the-shelf illuminators, such as LED lights, that can be placed arbitrarily close to the objects. We acquire multiple digital photographs of the studied object shot from a stationary camera. In each photograph, a light is freely positioned around the object in order t...

Social capital is currently one of social structure‘s most prominent and debated manifestations. However, we have a limited understanding of how social ties as the basis of social capital form in the first place. From one perspective social capital is viewed as: ―investment in social relations with expected returns in the marketplace‖ (Lin 2001, p. 19). A second perspective on social capital fo...

While intelligent tutoring systems (ITSs), also called knowledge based tutors, are becoming more common and proving to be increasingly effective, each one must still be built from scratch at a significant cost. We have developed domain independent tools for authoring all aspects of a knowledge based tutor: the domain model, the teaching strategies, the student model, and the learning environmen...

The paper is based on the experience of the authors in the development of technical diagnostic expert systems. The use of a causal-probabilistic model of the technical diagnosis is discussed in the context of two particular expert systems (ES). Practical problems during the knowledge acquisition, veriication and processing when creating real ES and tools for ES development are analyzed.

Sketching is an interactive process of communication, using drawings and linguistic information to convey spatial and conceptual material. Our work on a computational model of sketching has the goal of both explaining human sketching and creating software that can be a human-like partner in sketching interactions. This focus has lead us to explore a very different set of tradeoffs from those ty...

We test 3 theories of global and local scene information acquisition, defining global and local in terms of spatial frequencies. By independence theories, high- and low-spatial-frequency information are acquired over the same time course and combine additively. By global-precedence theories, global information acquisition precedes local information acquisition, but they combine additively. By i...

Nowadays, Bayesian Networks (BNs) have constituted one of the most complete, self-sustained and coherent formalisms useful for knowledge acquisition, representation and application through computer systems. Yet, the learning of these BNs structures from data represents a problem classified at an NP-hard range of difficulty. As such, it has turned out to be the most exciting challenge in the lea...

We discuss a dynamic model where all agents contribute to a global externality, but only those in a speci c region su er from it. We model this in a dynamic setting via a two agent, non-cooperative overlapping generations model and analyze the consequences for economic growth and intertemporal choices. We nd that multiple steady states may result from this asymmetry. In particular, if the agent...