scholarly journals Real-Time Correlation Tracking Via Joint Model Compression and Transfer

2020 ◽  
Vol 29 ◽  
pp. 6123-6135
Author(s):  
Ning Wang ◽  
Wengang Zhou ◽  
Yibing Song ◽  
Chao Ma ◽  
Houqiang Li
Keyword(s):  
Real Time ◽  
Time Correlation ◽  
Joint Model ◽  
Model Compression ◽  
Correlation Tracking

scholarly journals Semantic-Aware Real-Time Correlation Tracking Framework for UAV Videos

2020 ◽  
pp. 1-12
Author(s):  
Xizhe Xue ◽  
Ying Li ◽  
Xiaoyue Yin ◽  
Changjing Shang ◽  
Taoxin Peng ◽  
...  
Keyword(s):  
Real Time ◽  
Time Correlation ◽  
Correlation Tracking

scholarly journals Combining Color Features for Real-Time Correlation Tracking

2017 ◽  
Vol E100.D (1) ◽  
pp. 225-228 ◽  
Author(s):  
Yulong XU ◽  
Zhuang MIAO ◽  
Jiabao WANG ◽  
Yang LI ◽  
Hang LI ◽  
...  
Keyword(s):  
Real Time ◽  
Time Correlation ◽  
Color Features ◽  
Correlation Tracking

PC-based continuous recording field seismograph

1992 ◽  
Vol 82 (1) ◽  
pp. 497-504
Author(s):  
R. W. E. Green
Keyword(s):  
Real Time ◽  
Data Transfer ◽  
Average Power ◽  
Data File ◽  
Time Correlation ◽  
Solar Panels ◽  
Long Period ◽  
Remote Sites ◽  
Sample Count ◽  
Teleseismic Events

Abstract Observations of teleseismic events at remote sites necessitated the development of a portable digital recorder that is capable of continuously recording the output of a three-component set of long-period transducers. A PC is used as a file management facility, operating in an intermittant or “sleeper mode.” Each of the three components are digitized and stored in separate, intelligent A to D cards. When 28 K samples have been generated, a trigger is initiated, and on the transition of the next real time second the real time is latched and power is applied to the PC. The sample count between the trigger and the latched acknowledgment of the trigger provides an absolute time correlation. After the PC has powered up, the data are down-loaded from the three acquisition cards to a PC hard disk and the latched real time forms the header label of the data file. Power is then removed from the PC. Sampling at about 15 samples per second, the PC is switched on every 33, 45 minutes. Boot-up and data down-loading uses approximately 5 watts average power. The associated long-period transducers (Guralp CMG3) consume about 3 watts and the remaining electronics 2 watts. All the electronics are housed in a steel cabinet, and the system uses four solar panels charging two 105AH batteries. Data transfer to an internal 60 MByte tape streamer necessitates a visit to the station every 24 days.

scholarly journals Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model

2018 ◽  
Vol 113 (524) ◽  
pp. 1457-1475
Author(s):  
Bhuvanesh Pareek ◽  
Pulak Ghosh ◽  
Hugh N. Wilson ◽  
Emma K. Macdonald ◽  
Paul Baines
Keyword(s):  
Real Time ◽  
Joint Model ◽  
Voter Choice ◽  
The Impact
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