Browsing by Author "Wood, Andrew"
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- Analyzing and Visualizing Disaster Phases from Social Media StreamsLin, Xiao; Chen, Liangzhe; Wood, Andrew (2012-12-11)Working under the direction of CTRNet, we developed a procedure for classifying Twitter data related to natural/man-made disasters into one of the Four Phases of Emergency Management (response, recovery, mitigation, and preparedness) as well as a multi-view system for visualizing the resulting data.
- Cross-Platform Presentation of Interactive Volumetric ImageryPolys, Nicholas F.; Wood, Andrew; Shinpaugh, Patrick (Department of Computer Science, Virginia Polytechnic Institute & State University, 2012)Volume data is useful across many disciplines, not just medicine. Thus, it is very important that researchers have a simple and lightweight method of sharing and reproducing such volumetric data. In this paper, we explore some of the challenges associated with volume rendering, both from a classical sense and from the context of Web3D technologies. We describe and evaluate the pro- posed X3D Volume Rendering Component and its associated styles for their suitability in the visualization of several types of image data. Additionally, we examine the ability for a minimal X3D node set to capture provenance and semantic information from outside ontologies in metadata and integrate it with the scene graph.
- The Making of Leork: The Virginia Tech Linux Laptop OrchestraBukvic, Ivica Ico; Matthews, Michael; Renfro, Maya; Wood, Andrew (2009)This poster describes the making of Leork, the Virginia Tech Linux Laptop Orchestra. The challenge of the project was to assemble a laptop orchestra using open source software, create self-constructed speakers, and obtain netbooks for a minimal cost. The project goals were to design and build a website, build hemispherical speakers, and construct software patches in Pure Data. At the project's conclusion, 16 hemispherical speakers were built, a website was developed and made available at 12ork.music.vt.edu, and all software patches were completed.
- Text Clustering Using LucidWorks and Apache MahoutChen, Liangzhe; Lin, Xiao; Wood, Andrew (2012-11-17)This module introduces algorithms and evaluation metrics for flat clustering. We focus on the usage of LucidWorks big data analysis software and Apache Mahout, an open source machine learning library in clustering of document collections with the k-means algorithm.