scispace - formally typeset
Search or ask a question
Institution

Samsung

CompanySeoul, South Korea
About: Samsung is a company organization based out in Seoul, South Korea. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134067 authors who have published 163691 publications receiving 2057505 citations. The organization is also known as: Samsung Group & Samsung chaebol.


Papers
More filters
Proceedings ArticleDOI
01 Dec 2006
TL;DR: In this article, a fully functional 512Mb PRAM with 0.047mum2 (5.8F2) cell size was successfully fabricated using 90nm diode technology in which the authors developed novel process schemes such as vertical diode as cell switch, self-aligned bottom electrode contact scheme and line-type Ge2Sb2Te5.
Abstract: Fully functional 512Mb PRAM with 0.047mum2 (5.8F2) cell size was successfully fabricated using 90nm diode technology in which the authors developed novel process schemes such as vertical diode as cell switch, self-aligned bottom electrode contact scheme, and line-type Ge2Sb2Te5. The 512Mb PRAM showed excellent electrical properties of sufficiently large on-current and stable phase transition behavior. The reliability of the 512Mb chip was also evaluated as a write-endurance over 1E5 cycles and a data retention time over 10 years at 85degC

243 citations

Patent
Wook Lee1
03 May 2013
TL;DR: A driving method of an organic light emitting display device includes: classifying a plurality of luminance steps into at least a low and a high luminance sections; and setting a reference luminance at a predefined level during the low luminance section and adjusting an off duty according to predetermined criteria for each step in the low-luminance section as discussed by the authors.
Abstract: A driving method of an organic light emitting display device includes: classifying a plurality of luminance steps into at least a low luminance section and a high luminance section; and setting a reference luminance at a predefined level during the low luminance section and adjusting an off duty according to predetermined criteria for each step in the low luminance section.

243 citations

Patent
Baek-woon Lee1
30 Jul 2010
TL;DR: An organic light emitting display includes a display unit that includes pixels coupled to scan lines, control lines, and data lines; a control line driver for providing control signals to the respective pixels through the control lines.
Abstract: An organic light emitting display includes a display unit that includes pixels coupled to scan lines, control lines, and data lines; a control line driver for providing control signals to the respective pixels through the control lines; a first power driver for applying a first power to the pixels of the display unit; and a second power driver for applying a second power to the pixels of the display unit, wherein the first power and/or the second power is applied to the pixels of the display unit, having voltage values at different levels, during periods of one frame, and the control signals and the first and second powers are concurrently provided to all of the pixels.

243 citations

Patent
25 Jan 2011
TL;DR: In this article, an organic light emitting diode display is disclosed, where a signal from the pixels in the display is transmitted to a circuit which compensates the image data according to the signal, which is indicative of one or more of ageing of the organic light-emitting diodes, the threshold voltages of the driving transistors, and current mobility of the driver transistors.
Abstract: An organic light emitting diode display is disclosed. A signal from the pixels in the display is transmitted to a circuit which compensates the image data according to the signal, which is indicative of one or more of ageing of the organic light emitting diodes, the threshold voltages of the driving transistors, and current mobility of the driving transistors.

242 citations

Proceedings ArticleDOI
14 Feb 2012
TL;DR: A new file system for SSDs, SFS, which exploits the maximum write bandwidth of SSD by taking a log-structured approach and transforms all random writes at file system level to sequential ones at SSD level.
Abstract: Over the last decade we have witnessed the relentless technological improvement in flash-based solid-state drives (SSDs) and they have many advantages over hard disk drives (HDDs) as a secondary storage such as performance and power consumption. However, the random write performance in SSDs still remains as a concern. Even in modern SSDs, the disparity between random and sequential write bandwidth is more than tenfold. Moreover, random writes can shorten the limited lifespan of SSDs because they incur more NAND block erases per write.In order to overcome these problems due to random writes, in this paper, we propose a new file system for SSDs, SFS. First, SFS exploits the maximum write bandwidth of SSD by taking a log-structured approach. SFS transforms all random writes at file system level to sequential ones at SSD level. Second, SFS takes a new data grouping strategy on writing, instead of the existing data separation strategy on segment cleaning. It puts the data blocks with similar update likelihood into the same segment. This minimizes the inevitable segment cleaning overhead in any log-structured file system by allowing the segments to form a sharp bimodal distribution of segment utilization.We have implemented a prototype SFS by modifying Linux-based NILFS2 and compared it with three state-of-the-art file systems using several realistic workloads. SFS outperforms the traditional LFS by up to 2.5 times in terms of throughput. Additionally, in comparison to modern file systems such as ext4 and btrfs, it drastically reduces the block erase count inside the SSD by up to 7.5 times.

242 citations


Authors

Showing all 134111 results

NameH-indexPapersCitations
Yi Cui2201015199725
Hyun-Chul Kim1764076183227
Hannes Jung1592069125069
Yongsun Kim1562588145619
Yu Huang136149289209
Robert W. Heath128104973171
Shuicheng Yan12381066192
Shi Xue Dou122202874031
Young Hee Lee122116861107
Alan L. Yuille11980478054
Yang-Kook Sun11778158912
Sang Yup Lee117100553257
Guoxiu Wang11765446145
Richard G. Baraniuk10777057550
Jef D. Boeke10645652598
Network Information
Related Institutions (5)
KAIST
77.6K papers, 1.8M citations

93% related

Nanyang Technological University
112.8K papers, 3.2M citations

91% related

Georgia Institute of Technology
119K papers, 4.6M citations

91% related

Hong Kong University of Science and Technology
52.4K papers, 1.9M citations

90% related

IBM
253.9K papers, 7.4M citations

90% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202289
20213,060
20205,735
20195,994
20185,885