scholarly journals Application Specific Data Trace Cache Design

2011 ◽  
Vol 22 (5) ◽  
pp. 18-21
Author(s):  
Sunita Parashar ◽  
Anshu Parashar
2005 ◽  
Vol 17 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Lei Gao ◽  
M. Dahlin ◽  
A. Nayate ◽  
Jiandan Zheng ◽  
Arun lyengar

10.1068/b3305 ◽  
2007 ◽  
Vol 34 (5) ◽  
pp. 767-784 ◽  
Author(s):  
Diansheng Guo ◽  
Ke Liao ◽  
Michael Morgan

The terrorism database includes more than 27000 terrorism incidents between 1968 and 2006. Each incident record has spatial information (country names for all records and city names for some records), a time stamp (ie year, month, and day), and several other fields (eg tactics, weapon types, target types, fatalities, and injuries). We introduce a unified visualization environment that is able to present various types of patterns and thus to facilitate explorations of the incident data from different perspectives. With the visualization environment one can visualize either spatiomultivariate, spatiotemporal, temporal - multivariate, or spatiotemporal - multivariate patterns. For example, the analyst can examine the characteristics (in terms of target types, tactics, or other multivariate vectors) of aggregated incidents and at the same time perceive how multivariate characteristics change over time and vary spatially. Special attention is devoted to the application-specific data analysis process, from data compilation, geocoding, preprocessing, and transformation, through customization and configuration of visualization components, to the interpretation and presentation of discovered patterns.


2018 ◽  
Vol 15 (10) ◽  
pp. 20180330-20180330 ◽  
Author(s):  
Hyunwoo Park ◽  
Hyun So ◽  
Hyukjun Lee

Author(s):  
J. Gehrung ◽  
M. Hebel ◽  
M. Arens ◽  
U. Stilla

<p><strong>Abstract.</strong> Recording an ever-changing urban environment in a structured manner requires sensor deployment planning. In case of mobile sensor platforms, this also includes verifying the terrain navigability. Solving both tasks would usually require different application-specific data structures and tools. In this work, we propose a theoretical framework that provides a uniform representation for spatial information as well as the tools required to combine, manipulate and visualize it. We provide an efficient implementation of the framework utilizing octree-based evidence grids. Our approach can be used to solve complex tasks by combining simple spatial information sources, which we demonstrate by providing simple solutions to the aforementioned applications. Despite the use of a volumetric approach, our runtimes are within the range of minutes.</p>


Sign in / Sign up

Export Citation Format

Share Document