Roboticists are working towards the realization of autonomous mobile manipulators that can perform useful tasks in human environments. These environments pose a significant challenge because of their complexity and inherent uncertainty. They are characterized by having a high dimensional state space. Consequently, performing tasks in these unstructured environments remains a challenge. Recently...

Roboticists are working towards the realization of autonomous mobile manipulators that can perform useful tasks in human environments. These environments pose a significant challenge because of their complexity and inherent uncertainty. They are characterized by having a high dimensional state space. Consequently, performing tasks in these unstructured environments remains a challenge. Recently...

In unstructured peer-to-peer networks, the analysis of scalability is a challenging task due to the unpredictable nature of churn rate. Specifically, in the P2P file sharing applications, peers join and leave the overlay network in a dynamic fashion increase the complexity of the network and leads to a huge wastage of bandwidth during the search for a particular file. In this paper, we proposed...

Discretizations based on unstructured grids have been widely used in other scientific disciplines for modeling problems bounded by complex geometries. Solution-adaptive techniques are relatively easy to implement on unstructured grids and in addition they provide a convenient way to model the multi-scale spanning nature of atmospheric flows. This paper describes the implementation of a higher-o...

Adjoint-based shape optimization methods have proven to be computationally efficient for aerodynamic problems. Themajority of the studies on adjoint methods have used structured grids to discretize the computational domain. Because of the potential advantages of unstructured grids for complex configurations, in this study we have developed and validated a continuous adjoint formulation for unst...

One of the most difficult problems in reverse engineering is the processing of unstructured data. NURBS (Non-uniform Rational B-splines) surfaces are a popular tool for surface modeling. However, they cannot be directly created from unstructured data, as they are defined on a four-sided domain with explicit parametric directions. Therefore, in reverse engineering, it is necessary to process uns...

We describe TextTile, a data visualization tool for investigation of datasets and questions that require seamless and flexible analysis of structured data and unstructured text. TextTile is based on real-world data analysis problems gathered through our interaction with a number of domain experts and provides a general purpose solution to such problems. The system integrates a set of operations...

Both advisory systems and expert systems provide expertise to support decision making in a myriad of domains. Expert systems are used to solve problems in well defined, narrowly focused problem domains, whereas advisory systems are designed to support decision making in more unstructured situations which have no single correct answer. This paper provides an overview of advisory systems, which i...

The activities of any large organization requires the work of specialists with a large volume of unstructured information in order to obtain and extract the necessary knowledge to interact with partners, decision-making, etc. An array of unstructured textual information is not adapted to structuring and semantic search. Thus, development of intelligent algorithms and text analysis methods for d...