Application-Specific Data Path for Highly Efficient Computation of Multistandard Video Codecs

2007 ◽  
Vol 17 (1) ◽  
pp. 26-42 ◽  
Author(s):  
Oscal T.-C. Chen ◽  
Li-Hsun Chen ◽  
Nai-Wei Lin ◽  
Chih-Chang Chen
Keyword(s):  
Data Path ◽  
Efficient Computation ◽  
Specific Data ◽  
Video Codecs ◽  
Highly Efficient ◽  
Application Specific

scholarly journals Highly efficient computation method for hazard quantification of uncontained rotor failure

2020 ◽  
Vol 33 (7) ◽  
pp. 1980-1990
Author(s):  
Zhenqiang ZHAO ◽  
Peng LIU ◽  
Yan LIU ◽  
Chao ZHANG ◽  
Yulong LI
Keyword(s):  
Computation Method ◽  
Efficient Computation ◽  
Highly Efficient

Improving availability and performance with application-specific data replication

2005 ◽  
Vol 17 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Lei Gao ◽  
M. Dahlin ◽  
A. Nayate ◽  
Jiandan Zheng ◽  
Arun lyengar
Keyword(s):  
Data Replication ◽  
Specific Data ◽  
And Performance ◽  
Application Specific

Visualizing Patterns in a Global Terrorism Incident Database

10.1068/b3305 ◽  
2007 ◽  
Vol 34 (5) ◽  
pp. 767-784 ◽  
Author(s):  
Diansheng Guo ◽  
Ke Liao ◽  
Michael Morgan
Keyword(s):  
Data Analysis ◽  
Spatial Information ◽  
Time Stamp ◽  
Change Over Time ◽  
Specific Data ◽  
Analysis Process ◽  
Data Compilation ◽  
Global Terrorism ◽  
Application Specific ◽  
Over Time

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.

scholarly journals Application Specific Data Trace Cache Design

2011 ◽  
Vol 22 (5) ◽  
pp. 18-21
Author(s):  
Sunita Parashar ◽  
Anshu Parashar
Keyword(s):  
Specific Data ◽  
Trace Cache ◽  
Cache Design ◽  
Application Specific
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