Digitized PDE Method for Data Restoration

Author(s):  
Stanley Osher ◽  
Jianhong Shen
Keyword(s):  
2019 ◽  
Vol 46 (1) ◽  
pp. 132-134
Author(s):  
Reza Aghajani ◽  
Xingjie Li ◽  
Kavita Ramanan

2012 ◽  
Vol 248 (2) ◽  
pp. 156-162 ◽  
Author(s):  
J. LU ◽  
T. WU ◽  
T. LIU ◽  
C. CHEN ◽  
C. ZHAO ◽  
...  

Author(s):  
F. Sacristán - Romero

The objectives of satellites HISPASAT are oriented towards the search to satisfy necessities derived from the transport of television and radio signals. It tries the supplying of a basic and safe support of communications for the defence and security of the national territory, the creation of an infrastructure of channels for official networks, routes of data, restoration of connections, rural telephony. Also is wanted to foment the provision of television channels for the Hispanic community in the south and center of America and the broadcasting of services of television for people in general.


2021 ◽  
Author(s):  
Min Li ◽  
Junbiao Dai ◽  
Qingshan Jiang ◽  
Yang Wang

Abstract Current research on DNA storage usually focuses on the improvement of storage density with reduced gene synthesis cost by developing effective encoding and decoding schemes while lacking the consideration on the uncertainty in ultra long-term data storage and retention. Consequently, the current DNA storage systems are often not self-containment, implying that they have to resort to external tools for the restoration of the stored gene data. This may result in high risks in data loss since the required tools might not be available due to the high uncertainty in far future. To address this issue, we propose in this paper a self-contained DNA storage system that can make self-explanatory to its stored data without relying on any external tools. To this end, we design a specific DNA file format whereby a separate storage scheme is developed to reduce the data redundancy while an effective indexing is designed for random read operations to the stored data file. We verified through experimental data that the proposed self-contained and self-explanatory method can not only get rid of the reliance on external tools for data restoration but also minimize the data redundancy brought about when the amount of data to be stored reaches a certain scale.


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