Solid State
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2022 ◽  
Vol 4 (1) ◽  
pp. 1-10
Panigrahi M.K ◽  

The aim of the work is to use industrial waste as resource materials for formulating useful product for society. Materials are prepared using Fly ash as main ingredient through sintered process via solid state route. Different materials are prepared using various sintering temperature. The crystal structural and phases are explored by XRD analysis. Mulite phase are investigated, which is indicated the insulating properties of the materials. Surface topography of the prepared materials is analyzed by FESEM characterization. EDS analysis is also done during the FESEM characterization and is assessed the various chemical compositions. Identification of different chemical groups in the processed Fly Ash is carried out by FTIR analysis. Highest electrical resistivity is estimated and is found to be 35.1 MΩ, which indicates the very good insulating property.

2022 ◽  
Vol 21 (1) ◽  
pp. 1-24
Katherine Missimer ◽  
Manos Athanassoulis ◽  
Richard West

Modern solid-state disks achieve high data transfer rates due to their massive internal parallelism. However, out-of-place updates for flash memory incur garbage collection costs when valid data needs to be copied during space reclamation. The root cause of this extra cost is that solid-state disks are not always able to accurately determine data lifetime and group together data that expires before the space needs to be reclaimed. Real-time systems found in autonomous vehicles, industrial control systems, and assembly-line robots store data from hundreds of sensors and often have predictable data lifetimes. These systems require guaranteed high storage bandwidth for read and write operations by mission-critical real-time tasks. In this article, we depart from the traditional block device interface to guarantee the high throughput needed to process large volumes of data. Using data lifetime information from the application layer, our proposed real-time design, called Telomere , is able to intelligently lay out data in NAND flash memory and eliminate valid page copies during garbage collection. Telomere’s real-time admission control is able to guarantee tasks their required read and write operations within their periods. Under randomly generated tasksets containing 500 tasks, Telomere achieves 30% higher throughput with a 5% storage cost compared to pre-existing techniques.

2022 ◽  
Vol 48 ◽  
pp. 103842
L. Cabras ◽  
D. Danilov ◽  
W. Subber ◽  
V. Oancea ◽  
A. Salvadori

2022 ◽  
Vol 376 ◽  
pp. 115848
Gaku Shirota ◽  
Akira Nasu ◽  
Minako Deguchi ◽  
Atsushi Sakuda ◽  
Masahiro Tatsumisago ◽  

2022 ◽  
Vol 61 (4) ◽  
Vignesh Athiyarath ◽  
Mithun C. Madhusudhanan ◽  
Sooraj Kunnikuruvan ◽  
Kana M. Sureshan

2022 ◽  
pp. 650-658
Hanyu Huo ◽  
Kai Huang ◽  
Wei Luo ◽  
Jintao Meng ◽  
Liangyi Zhou ◽  

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