公开(公告)号：US20140010031A1

公开(公告)日：2014-01-09

申请号：US13767598

申请日：2013-02-14

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY ,  SK HYNIX INC.

Inventor： Seok Hwan CHOI ,  Joong Seob YANG ,  Seung Ho CHANG ,  Sang Sik KIM ,  Sang Chul LEE ,  Ho Yeon LEE ,  Jaekyun MOON ,  Jaehyeong NO

IPC: G11C29/04

CPC classification number: G11C29/04 ,  G11C11/16 ,  G11C11/22 ,  G11C13/00 ,  G11C16/00 ,  G11C29/50004 ,  G11C2029/5002

Abstract: A method for estimating channel characteristics of a nonvolatile memory device including a plurality of memory cells includes the steps of: calculating first threshold voltage distributions of the memory cells programmed according to input data, based on the input data and a physical structure of the memory cells; calculating second threshold voltage distributions of the memory cells, based on output data and the physical structure of the memory cells; and analyzing the relation between the first and second threshold voltage distributions, using a mask.

Abstract translation: 一种用于估计包括多个存储单元的非易失性存储器件的通道特性的方法，包括以下步骤：基于输入数据和存储单元的物理结构，计算根据输入数据编程的存储器单元的第一阈值电压分布 ; 基于输出数据和存储器单元的物理结构计算存储器单元的第二阈值电压分布; 以及使用掩模分析第一和第二阈值电压分布之间的关系。

公开(公告)号：US20190139276A1

公开(公告)日：2019-05-09

申请号：US16181685

申请日：2018-11-06

Applicant: Samsung Electronics Co., Ltd. ,  Korea Advanced Institute Of Science And Technology

Inventor： Jong Ha LEE ,  Ho Yeon LEE ,  Seung Ryong CHO

IPC: G06T11/00 ,  A61B6/02

CPC classification number: G06T11/008 ,  A61B6/025 ,  G06T11/005 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2211/436

Abstract: Provided are a method and apparatus for interpolating X-ray tomographic image data by using a machine learning model. A method of interpolating an X-ray tomographic image or X-ray tomographic composite image data includes obtaining a trained model parameter via machine learning that uses a sub-sampled sinogram for learning as an input and uses a full-sampled sinogram for learning as a ground truth; radiating X-rays onto an object at a plurality of preset angular locations via an X-ray source, and obtaining a sparsely-sampled sinogram including X-ray projection data obtained via X-rays detected at the plurality of preset angular locations; applying the trained model parameter to the sparsely-sampled sinogram by using the machine learning model; and generating a densely-sampled sinogram by estimating X-ray projection data not obtained with respect to the object on the sparsely-sampled sinogram.

公开(公告)号：US20170314070A1

公开(公告)日：2017-11-02

申请号：US15522812

申请日：2015-10-30

Applicant: EWHA UNIVERSITY - UNDUSTRY COLLBARATION FOUNDATION ,  KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hyukjin LEE ,  Haeshin LEE ,  Ho Yeon LEE ,  Il Young JUNG

IPC: C12Q1/68 ,  B01L3/00

Abstract: The present invention provides facile and accurate molecular diagnosis of disease-specific genes capable of the naked eye detection through amplifying the target genes to selectively block the fluid path in a microfluidic device. Specifically, the present invention includes an isothermal amplification of target genes through a rolling circle amplification, a microfluidic device for detecting pathogen genes, and a detection method using the same. Therefore, the present invention can conveniently detect a single target gene, such as a single pathogen, or at the same time, several target genes, such as several pathogens, without complicated mechanical equipment.