Abstract Volume Tracking Using Higher Dimensional Isosurfacing

Tracking and visualizing local features from a time-varying volumetric data allows the user to focus on selected regions of interest, both in space and time, which can lead to a better understanding of the underlying dynamics. In this paper, we present an efficient algorithm to track time-varying isosurfaces and interval volumes using isosurfacing in higher dimensions. Instead of extracting the data features such as isosurfaces or interval volumes separately from multiple time steps and computing the spatial correspondence between those features, our algorithm extracts the correspondence directly from the higher dimensional geometry and thus can more efficiently follow the user selected local features in time. In addition, by analyzing the resulting higher dimensional geometry, it becomes easier to detect important topological events and the corresponding critical time steps for the selected features. With our algorithm, the user can interact with the underlying time-varying data more easily. The computation cost for performing time-varying volume tracking is also minimized

Interactive Exploration of Remote Isosurfaces with Point Based Non-Photorealistic Rendering

We present a non-photo realistic rendering technique for interactive exploration of isosurfaces generated from remote volumetric data. Instead of relying on the conventional smooth shading technique to render the isosurfaces, a point-based technique is used to represent and render the isosurfaces in a remote client-server environment. The non-photo realistic nature of the proposed rendering method enables the server to transmit only the essential surface features, which substantially reduces the network traffic. The algorithm also utilizes frame coherence and efficiently encodes the isosurface configuration inside each voxel cell to further minimize the network overhead. Finally, our algorithm can adjust the point distributions using different illumination settings to adapt to different network speeds

Effective Electrocatalysis Based on Ag₂O Nanowire Arrays Supported on a Copper Substrate

Silver oxide nanowire arrays (Ag₂O NWAs) were first synthesized on a copper (Cu) rod by a simple and facile wet-chemistry approach without using any surfactants. The as-synthesized Ag₂O NWA/Cu rod not only can be used as an integrated electrode (called a Ag₂O NWA/CRIE) to detect hydrazine (HZ) but also can serve as the catalyst layer for a direct HZ fuel cell. The current density of HZ oxidation on Ag₂O NWA (94.4 mA cm^–2) is much bigger than that on a bare Cu rod (3.9 mA cm^–2) at −0.6 V, and other Ag₂O NWAs have the lowest onset potential (−0.85 V). This suggests that a Ag₂O NWA integrated electrode has potential application in catalytic fields that contain the HZ fuel cell