Abstract:
본 발명에 따른 표면강화 라만 분광기판의 제조 방법은 기판을 준비하는 단계; 상기 기판 상에 규칙적으로 배열되는 원형 구조체를 형성하는 단계; 상기 기판 및 상기 원형 구조체 상에 제1 증착 금속을 1차적으로 코팅하는 단계; 상기 원형 구조체를 제거하여 나노 크기의 구멍을 형성하는 단계; 상기 나노 크기의 구멍 상에 서로 다른 2 이상의 블록 공중합체의 코팅, 유도 자기 조립 과정 및 산화를 통해 동심원 나노 구조체를 형성하는 단계; 상기 동심원 나노 구조체 상에 제2 증착 금속을 2차적으로 코팅하는 단계; 및 상기 제2 증착 금속의 식각을 통해 복수의 동심원 금속 나노갭을 형성하는 단계;를 포함한다.
Abstract:
The present invention relates to an internal structure of a vacuum insulator with improved insulation performance caused by a long heat transfer path. According to the present invention, the vacuum insulator comprises an inner support body having a structure in which a pattern of the reciprocating heat transfer path from an upper contact surface to a lower contact surface is constantly repeated in a circumferential direction.
Abstract:
PURPOSE: A compressive DOT(Diffuse Optical Tomography) method and an apparatus thereof are provided to quickly and accurately restore images by restoring the images using joint scarcity. CONSTITUTION: A DOT problem is converted to MMV(Multiple Measurement Vector) by using joint scarcity(S210). An active index set is calculated by using an MMV algorithm(S220). The amount of changed absorption coefficient is calculated by using a least square fitting algorithm(S230). [Reference numerals] (AA) Start; (BB) End; (S210) Converting a DOT problem to an MMV problem by using joint scarcity; (S220) Calculating an active index set by using MMV algorithm; (S230) Calculating the change amount of an absorption coefficient by using least square fitting algorithm
Abstract:
PURPOSE: An apparatus and method for realizing multimedia content is provided to recognize a multimedia content with a video quality deterioration, a compression loss, a speed variation, or an editing added. CONSTITUTION: An image segment unit(300) extracts a finger print in each frame of an input image. The image segments unit divides the image into the segment unit using the extracted fingerprint. A Markov random field constructing unit(310) establishes the divided each segment as a node. The Markov random field constructing unit constructs an MRF(Markov Random Field) by establishing the observation variable and the hidden variable of each node. A variable value estimation unit(320) assumes the hidden variable for maximizing the probability value of the constructed Markov random field.