Information-processing method of ground-based atmospheric remote sensing: the effective instrument function method

1995 ◽  
Vol 34 (24) ◽  
pp. 5453 ◽  
Author(s):  
Xu Jiyao ◽  
Wang Yingjian
Keyword(s):  
Remote Sensing ◽  
Information Processing ◽  
Function Method ◽  
Processing Method ◽  
Instrument Function ◽  
Atmospheric Remote Sensing ◽  
Effective Instrument

Does a Ribosome Really Read? On the Cognitive Roots and Heuristic Value of Linguistic Metaphors in Molecular Genetics. Part 2

2020 ◽  
Vol 63 (2) ◽  
pp. 46-62
Author(s):  
Suren T. Zolyan
Keyword(s):  
Information Processing ◽  
Genetic Information ◽  
Formal Organization ◽  
Dual Nature ◽  
Reading Frame ◽  
The Core ◽  
Genetic Information Processing ◽  
Cognitive Frame ◽  
Effective Instrument

We discuss the role of linguistic metaphors as a cognitive frame for the understanding of genetic information processing. The essential similarity between language and genetic information processing has been recognized since the very beginning, and many prominent scholars have noted the possibility of considering genes and genomes as texts or languages. Most of the core terms in molecular biology are based on linguistic metaphors. The processing of genetic information is understood as some operations on text – writing, reading and editing and their specification (encoding/decoding, proofreading, transcription, translation, reading frame). The concept of gene reading can be traced from the archaic idea of the equation of Life and Nature with the Book. Thus, the genetics itself can be metaphorically represented as some operations on text (deciphering, understanding, code-breaking, transcribing, editing, etc.), which are performed by scientists. At the same time linguistic metaphors portrayed gene entities also as having the ability of reading. In the case of such “bio-reading” some essential features similar to the processes of human reading can be revealed: this is an ability to identify the biochemical sequences based on their function in an abstract system and distinguish between type and its contextual tokens of the same type. Metaphors seem to be an effective instrument for representation, as they make possible a two-dimensional description: biochemical by its experimental empirical results and textual based on the cognitive models of comprehension. In addition to their heuristic value, linguistic metaphors are based on the essential characteristics of genetic information derived from its dual nature: biochemical by its substance, textual (or quasi-textual) by its formal organization. It can be concluded that linguistic metaphors denoting biochemical objects and processes seem to be a method of description and explanation of these heterogeneous properties.

Calculation of Radiation Signal of Rocket Plume after Atmospheric Attenuation Using Wide Band K-Distribution Model

2013 ◽  
Vol 295-298 ◽  
pp. 2437-2441
Author(s):  
Xue Mei Yin ◽  
Qiu Yang Ma ◽  
Xue Hong Wu ◽  
Yi Gong ◽  
Yan Li Lu
Keyword(s):  
Remote Sensing ◽  
Rocket Engine ◽  
Wide Band ◽  
Distribution Model ◽  
Climatic Effects ◽  
Radiation Process ◽  
Gas Radiation ◽  
Atmospheric Remote Sensing ◽  
Rocket Plume ◽  
Liquid Rocket

The calculation of the gas radiation process plays an important role in the study of atmospheric remote sensing and climatic effects of greenhouse gas. The remote sensing of rocket plume has important significance for early warning, interception, detection, identification and tracking of flight vehicle. A model was established to calculate the remote sensing signal of rocket plume by wide band k-distribution, the liquid rocket plume remote sensing signals in atmospheric window region and the detectors’ working spectrum are calculated, and the results were compared with the results calculated by line-by-line approach. The results showed that in some of the detectors’ working spectral regions, the wide band k-distribution model can be used for the calculation of the remote sensing of liquid rocket engine exhaust plume.

Ionospheric And Atmospheric Remote Sensing Using Passive Sensors

1988 ◽  
Author(s):  
Supriya Chakrabarti ◽  
Richard Link ◽  
G. Randall Gladstone
Keyword(s):  
Remote Sensing ◽  
Atmospheric Remote Sensing ◽  
Passive Sensors
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