The real-time parallel system based on dual DSPs for remote sensing image restoration using time-varying wavelet packets

2005 ◽  
Author(s):  
Jian Zhang ◽  
Guo-qiang Ni ◽  
Ming-qi Liu ◽  
Xiaodi Cui ◽  
Xin-ping Liu
2012 ◽  
Vol 532-533 ◽  
pp. 1339-1343 ◽  
Author(s):  
Wei Cheng Zhang ◽  
Zeng Ping Chen

According to the problem that the mass remote sensing image cannot be stored rapidly in the traditional storage system, the new SSD-based storage technology for mass remote sensing image is proposed and analyzed. The technology consists of image blocking technology, parallel bus storage technology and pipeline storage technology between flash channels, which makes the real-time storage of mass remote sensing image possible. The results of theoretic analysis show that the proposed technology in this paper can improve the storage speed for remote sensing image remarkably.


Author(s):  
Tie-Jun Li ◽  
Meng-Zhuo Wang ◽  
Chun-Yu Zhao

The real-time thermal–mechanical–frictional coupling characteristics of bearings are critical to the accuracy, reliability, and life of entire machines. To obtain the real-time dynamic characteristics of ball bearings, a novel model to calculate point contact dynamic friction in mixed lubrication was firstly presented in this work. The model of time-varying thermal contact resistance under fit between the ring and the ball, between the ring and the housing, and between the ring and the shaft was established using the fractal theory and the heat transfer theory. Furthermore, an inverse thermal network method with time-varying thermal contact resistance was presented. Using these models, the real-time thermal–mechanical–frictional coupling characteristics of ball bearings were obtained. The effectiveness of the presented models was verified by experiment and comparison.


2020 ◽  
Vol 14 (01) ◽  
pp. 1
Author(s):  
Changyeop Shin ◽  
Minbeom Kim ◽  
Sungho Kim ◽  
Youngjung Kim

2017 ◽  
Vol 11 (1) ◽  
pp. 95-103 ◽  
Author(s):  
Amir Ansari ◽  
Habibollah Danyali ◽  
Mohammad Sadegh Helfroush

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