Samsung

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.

Chemical vapor deposition apparatus

Abstract: A chemical vapor deposition apparatus is disclosed, which is capable of improving the yield by an extension of a cleaning cycle, the chemical vapor deposition apparatus comprising a chamber with a substrate-supporting member for supporting a substrate; a chamber lid with plural first source supplying holes, the chamber lid installed over the chamber; plural source supplying pipes for supplying a process source to the plural first source supplying holes; a spraying-pipe supporting member with plural second source supplying holes corresponding to the plural first source supplying holes, the spraying-pipe supporting member detachably installed in the chamber lid; and plural source spraying pipes with plural third source supplying holes and plural source spraying holes, the plural source spraying pipes supported by the spraying-pipe supporting member, wherein the plural third source supplying holes are supplied with the process source through the plural second source supplying holes, and the plural source spraying holes are provided to spray the process source onto the substrate

A deep learning framework for supporting the classification of breast lesions in ultrasound images.

Abstract: In this research, we exploited the deep learning framework to differentiate the distinctive types of lesions and nodules in breast acquired with ultrasound imaging. A biopsy-proven benchmarking dataset was built from 5151 patients cases containing a total of 7408 ultrasound breast images, representative of semi-automatically segmented lesions associated with masses. The dataset comprised 4254 benign and 3154 malignant lesions. The developed method includes histogram equalization, image cropping and margin augmentation. The GoogLeNet convolutionary neural network was trained to the database to differentiate benign and malignant tumors. The networks were trained on the data with augmentation and the data without augmentation. Both of them showed an area under the curve of over 0.9. The networks showed an accuracy of about 0.9 (90%), a sensitivity of 0.86 and a specificity of 0.96. Although target regions of interest (ROIs) were selected by radiologists, meaning that radiologists still have to point out the location of the ROI, the classification of malignant lesions showed promising results. If this method is used by radiologists in clinical situations it can classify malignant lesions in a short time and support the diagnosis of radiologists in discriminating malignant lesions. Therefore, the proposed method can work in tandem with human radiologists to improve performance, which is a fundamental purpose of computer-aided diagnosis.

Organic light emitting display and method of driving the same

Abstract: An organic light emitting display is capable of reducing power consumption. The organic light emitting display includes a scan driver for sequentially supplying scan signals to scan lines, a data driver for supplying data signals to data lines in synchronization with the scan signals, pixels located at crossing regions of the scan lines and the data lines, a timing controller for determining a normal driving mode for displaying a normal image and a standby driving mode displaying less information than the normal image, and a power source for supplying a first power and a second power to the pixels, wherein a voltage difference between the first power and the second power in the normal driving mode is a first voltage, and a voltage difference between the first power and the second power is a second voltage different from the first voltage.

Highly reliable 50nm contact cell technology for 256Mb PRAM

Abstract: Novel small contact fabrication technologies were proposed to realize reliable high density 256Mb PRAM(phase change memory) product. Introducing the 2-step CMP (chemical mechanical polishing) process and the ring-shaped contact structure, the contact area distribution was greatly improved even at the smallest contact diameter of 50nm node. The validity of this approach was directly confirmed by the evaluation of the functionality for the fabricated 256Mbit PRAM based on 0.10/spl mu/m CMOS technology.

Two-terminal floating-gate memory with van der Waals heterostructures for ultrahigh on/off ratio

Abstract: Concepts of non-volatile memory to replace conventional flash memory have suffered from low material reliability and high off-state current, and the use of a thick, rigid blocking oxide layer in flash memory further restricts vertical scale-up. Here, we report a two-terminal floating gate memory, tunnelling random access memory fabricated by a monolayer MoS2/h-BN/monolayer graphene vertical stack. Our device uses a two-terminal electrode for current flow in the MoS2 channel and simultaneously for charging and discharging the graphene floating gate through the h-BN tunnelling barrier. By effective charge tunnelling through crystalline h-BN layer and storing charges in graphene layer, our memory device demonstrates an ultimately low off-state current of 10(-14) A, leading to ultrahigh on/off ratio over 10(9), about ∼10(3) times higher than other two-terminal memories. Furthermore, the absence of thick, rigid blocking oxides enables high stretchability (>19%) which is useful for soft electronics.