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.

Phase-change memory devices with a self-heater structure

Abstract: Phase change memory devices include a phase-change memory layer on a semiconductor substrate. The phase-change memory layer has a major axis that is substantially parallel to a major axis of the semiconductor substrate and has a first surface and a second surface opposite the first surface that are substantially parallel to the major axis of the phase-change memory layer. A first electrode is provided on the semiconductor substrate that is electrically connected to the first surface of the phase-change memory layer in a first contact region of the phase-change memory layer. A second electrode is provided on the semiconductor substrate that is electrically connected to the phase-change memory layer in a second contact region of the phase-change memory layer. The second contact region is space apart from the first contact region.

Hand gesture recognition input system and method for a mobile phone

Abstract: A handheld gesture recognition control apparatus and its method are provided for a mobile phone. The input method of the present invention includes collecting a plurality of images; storing the images as control images; mapping the control images to corresponding control commands; capturing an image taken by a camera as a current image; comparing the current image to the control images; selecting one of the control images as a target control image according to a comparison result; extracting a control command mapped to the target control image; and executing the control command.

A 90 nm 1.8 V 512 Mb Diode-Switch PRAM With 266 MB/s Read Throughput

Abstract: A 512 Mb diode-switch PRAM has been developed in a 90 nm CMOS technology. The vertical diode-switch using the SEG technology has achieved minimum cell size and disturbance-free core operation. A core configuration, read/write circuit techniques, and a charge-pump system for the diode-switch PRAM are proposed. The 512 Mb PRAM has achieved read throughput of 266 MB/s through the proposed schemes. The write throughput was 0.54 MB/s in internal x2 write mode, and increased to 4.64 MB/s with x16 accelerated write mode at 1.8 V supply.

Multicell coordination via joint scheduling, beamforming and power spectrum adaptation

Abstract: The mitigation of intercell interference is a central issue for future-generation wireless cellular networks where frequencies are reused aggressively and where hierarchical cellular structures may heavily overlap. The paper examines the benefit of coordinating transmission strategies and resource allocation schemes across multiple cells for interference mitigation. For a multicell network serving multiple users per cell sectors and where both the base-stations and the remote users are equipped with multiple antennas, this paper proposes a joint proportionally fair scheduling, spatial multiplexing, and power spectrum adaptation method that coordinates multiple base-stations with an objective of optimizing the overall network utility. The proposed scheme optimizes the user schedule, transmit and receive beamforming vectors, and transmit power spectra jointly, while taking into consideration both the intercell and intracell interference and the fairness among the users. The proposed system is shown to significantly improve the overall network throughput while maintaining fairness as compared to a conventional network with per-cell zero-forcing beamforming and with fixed transmit power spectrum. The proposed system goes toward the vision of a fully coordinated multicell network, whereby transmission strategies and resource allocation schemes (rather than transmit signals) are coordinated across the base-stations as a first step.

Block-based noise estimation using adaptive Gaussian filtering

Abstract: This paper proposes a fast noise estimation algorithm using a Gaussian filter. It is based on block-based noise estimation, in which an input image is assumed to be contaminated by the additive white Gaussian noise and a filtering process is performed by an adaptive Gaussian filter. Coefficients of a Gaussian filter are selected as functions of the standard deviation of the Gaussian noise that is estimated from an input noisy image. For estimation of the amount of noise (i.e., standard deviation of the Gaussian noise), we split an image into a number of blocks and select smooth blocks that are classified by the standard deviation of intensity of a block, where the standard deviation is computed from the difference of the selected block images between the noisy input image and its filtered image. In the experiments, the performance of the proposed algorithm is compared with that of the three conventional (block-based and filtering-based) noise estimation methods. Experiments with several still images show the effectiveness of the proposed algorithm. The proposed noise estimation algorithm can be efficiently applied to noise reduction in commercial image - or video-based applications such as digital cameras and digital television (DTV) for its performance and simplicity.