433 research outputs found
CEG477/677: Computer Graphics II
By the end of this quarter, you will be familiar with techniques for generation 3-D scenes and interacting with the generated scenes. You will be introduced to surface rendering techniques, visibility algorithms, illumination models, and geometric modelling
Overcoming Uncertainties in Molecular Visualization
Uncertainties are difficult if not impossible to avoid. Capturing data from the analog world almost always results in some form of uncertainty. The amount of uncertainty depends on the method of measurement and its accuracy. When visualizing data that has some associated uncertainty, it is essential to properly process and convey such uncertainty and especially the amount of uncertainty keeping in mind that additional processing steps can amplify the uncertainty. There are various sources of uncertainty, such as numerical limitations or limitations of the capture device. However, there are other sources of uncertainty. Some of these uncertainties stem from model assumptions or limitations of how we translate natural specimens to 3D representations. Molecular structures are one example of this. This talk will illustrate this further and point to some of the solutions
CEG 433/633-01: Operating Systems
By the end of this quarter, you should be able to apply the learned concepts to the following:•Develop, test and debug programs in Unix.•Improve the performance of programs by tuning virtual memory usage, and file io.•Design and construct device drivers for Unix.•Design and build newer file systems for any OS.
During the course we will discuss topics from the following areas:•Operating system structures•Operating system interfaces•Process management and scheduling•Interprocess communication•File systems•Memory managemen
Time-Dependent 2-D Vector Field Topology: An Approach Inspired by Lagrangian Coherent Structures
This paper presents an approach to a time-dependent variant of the concept of
vector field topology for 2-D vector fields. Vector field topology is defined
for steady vector fields and aims at discriminating the domain of a vector
field into regions of qualitatively different behaviour. The presented approach
represents a generalization for saddle-type critical points and their
separatrices to unsteady vector fields based on generalized streak lines, with
the classical vector field topology as its special case for steady vector
fields. The concept is closely related to that of Lagrangian coherent
structures obtained as ridges in the finite-time Lyapunov exponent field. The
proposed approach is evaluated on both 2-D time-dependent synthetic and vector
fields from computational fluid dynamics
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