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능동소음제어를 위한 망각형 지연 LMS 알고리듬을 이용한 이중루프제어 모델
권기룡,박남천,이건일,Kwon, Ki-Ryong,Park, Nam-Chun,Lee, Kuhn-Il 한국음향학회 1995 韓國音響學會誌 Vol.14 No.3
In this paper, a double loop control model using leaky delay LMS algorithm are proposed for active noise control. The proposed double loop control model estimates the loudspeaker characteristic and the error path transfer function with on-line using only gain and acoustic time delay to reduce computation burden. The control of error signal through double loop control scheme makes the more robust cntrol system. The input signal of filter to estimate acoustic time delay is used difference between input signal of input microphone and adaptive filter output. And also, in nonstationary environments, the leaky delay LMS algorithm is employed to counteract parameter drift of delay LMS algorithm. For practical noise signal, the proposed double loop control model reduces noise level about 12.9 dB. 본 논문에서는 능동소음제어를 위하여 망각형 지연 LMS(least mean square) 알고리듬을 이용한 이중루프제어 모델을 제안하였다. 제안한 이중루푸제어 모델은 계산양을 줄이기 위해 이득과 음향시간지연인자를 이용하여 온라인으로 라우드스피커 특성 및 오차음경로를 추정한다. 이중루프구조를 통한 오차신호의 제어는 보다 견실한 제어시스템이 된다. 음향시간지연을 추정하기 위한 필터의 입력신호는 입력 마이크로폰 신호와 적응필터의 차를 사용한다. 망각형 지연 LMS 알고리듬은 비정상상태에서 계수들의 발산을 방지하기 위해 사용한다. 실제 소음신호에 대하여 제안한 이중루프제어 모델은 소음레벨이 평균 12.9dB정도 감쇠되었다.
권오흠,권기룡,송하주,Kwon, Oh-Heum,Kwon, Ki-Ryong,Song, Ha-Joo 한국멀티미디어학회 2020 멀티미디어학회논문지 Vol.23 No.12
Segmenting OCT retinal images into layers is important to diagnose and understand the progression of retinal diseases or identify potential symptoms. The task of manually identifying these layers is a difficult task that requires a lot of time and effort even for medical professionals, and therefore, various studies are being conducted to automate this using deep learning technologies. In this paper, we use cGAN-based neural network to automatically segmenting OCT retinal images into seven terrain-type regions defined by six layer boundaries. The network is composed of a Segnet-based generator model and a discriminator model. We also proposed a dynamic programming algorithm for refining the outputs of the network. We performed experiments using public OCT image data set and compared its performance with the Segnet-only version of the network. The experimental results show that the cGAN-based network outperforms Segnet-only version.
이석환,권기룡,Lee Suk-Hwan,Kwon Ki-Ryong 대한전자공학회 2005 電子工學會論文誌-CI (Computer and Information) Vol.42 No.1
We proposed a blind watermarking for 3D mesh model using the patch CEGIs. The CEGI is the 3D orientation histogram with complex weight whose magnitude is the mesh area and phase is the normal distance of the mesh from the designated origin. In the proposed algorithm we divide the 3D mesh model into the number of patch that determined adaptively to the shape of model and calculate the patch CEGIs. Some cells for embedding the watermark are selected according to the rank of their magnitudes in each of patches after calculating the respective magnitude distributions of CEGI for each patches of a mesh model. Each of the watermark bit is embedded into cells with the same rank in these patch CEGI. Based on the patch center point and the rank table as watermark key, watermark extraction and realignment process are performed without the original mesh. In the rotated model, we perform the realignment process using Euler angle before the watermark extracting. The results of experiment verify that the proposed algorithm is imperceptible and robust against geometrical attacks of cropping, affine transformation and vertex randomization as well as topological attacks of remeshing and mesh simplification. 본 논문에서는 복소 가우시안 영상 (Complex Extended Gaussian Image, CEGI)을 이용한 3D 메쉬 모델의 블라인드 워터마킹을 제안하였다. CEGI는 메쉬의 법선 벡터 분포를 나타내는 3차원 방향 히스토그램으로, 이는 메쉬의 면적 및 임의의 기준점에 대한 거리로 표현되는 복소 가중치의 합으로 구현된다. 제안한 방법에서는 먼저 3D 메쉬 모델을 모델의 형상에 따라 여러개의 패치로 분할한다. 그리고 워터마크를 삽입하기 위하여 각 패치별로 CEGI를 구한 후에 복소 가중치의 크기가 큰 셀을 선택하여, 각 패치 CEGI 상에 통일한 순위의 셀들에 각각 삽입한다. 그리고 패치의 중점 좌표 및 셀 순위표를 이용하여 원 메쉬 모델없이 워터마크를 추출한다. 이 때, 회전과 같은 아핀 변환된 모델에서는 오일러 각을 이용한 재배열 과정을 수행한다. 실험 결과에서 제안한 방법이 절단, 아핀 변환, 및 랜덤 잡음 첨가등의 기하학적 공격 및 메쉬 간단화 등의 위상학적 공격에 견고하였으며 또한 워터마크의 비가시성을 확인하였다.
이석환,권기룡,이건일,Lee Suk-Hwan,Kwon Ki-Ryong,Lee Kuhn-Il 한국통신학회 2004 韓國通信學會論文誌 Vol.29 No.11C
본 논문에서는 POSC 기반의 3D 메쉬 워터마킹 방법을 제안하였다. 제안한 방법에서는 3D 메쉬를 두 가지의 제약 조건 집합으로 수렴 조건을 만족할 때까지 반복 투영한다. 이들 집합은 워터마크를 삽입하기 위한 강인성 집합 및 비가시성 집합으로 구성된다. 원 모델없이 워터마크를 추출하기 위하여 제안한 방법에서는 워터마크가 삽입되는 위치 정보 및 결정치를 이용한다. 실험 결과로부터 제안한 방법이 메쉬 간단화, 절단, 아핀 변환, 및 랜덤 잡음 첨가 등의 공격에 우수한 강인성을 가짐을 확인하였다. In this paper, we proposed the 3D mesh watermarking using projection onto convex sets (POCS). 3D mesh is projected iteratively onto two constraint convex sets until it satisfy the convergence condition. These sets consist of the robustness set and the invisibility set that designed to embed watermark Watermark is extracted without original mesh by using the decision values and the index that watermark is embedded. Experimental results verified that the watermarked mesh have the robustness against mesh simplification, cropping, affine transformation, and vertex randomization as well as the invisibility.
박종규,권성근,권기룡,이석환,Park, Jong-Gyu,Kwon, Seong-Geun,Kwon, Ki-Ryong,Lee, Suk-Hwan 한국멀티미디어학회 2021 멀티미디어학회논문지 Vol.24 No.6
The identity verification is one of the most important technologies in online services. Many services in society are provided online, and the service is provided after confirming the user's identity. Users can do a lot of things online, but they also have side effects. Online digital information is easily manipulated and it is difficult to verify its authenticity, causing social confusion. Accordingly, there has been a movement for individuals to directly manage their identity information using DID. In this paper, we propose a system that can authenticate identity by directly adding own personal information and issuing an identifier using DID technology based on a private blockchain. Then, to verify the proposed system, the scenario is executed and verified.
옐로우와 사이안 두 광센서를 사용한 주위 조명광의 색온도 측정 및 분류
최덕규,권용대,권기룡,송규익 ( Duk Kyu Choi,Yong Dae Kwon,Ki Ryong Kwon,Kyu Ik Sohng ) 한국센서학회 1998 센서학회지 Vol.7 No.6
Originally, the reference white of the NTSC system used to be CIE illuminant C of 6774K. However, that of color television receiver has been adjusted to 9300K as a result of consumer preference for a very bluish white for monochrome television. Recent studies have revealed that the preferred color temperature of display white should be 3000K or 4000K higher than that of surround illuminant. Therefore it is required to classify ambient lighting source. In this paper, a efficient method that can distinguish the ambient incandescent lamp from fluorescent lamp under television viewing condition is developed using only two color sensors, yellow and cyan. Experimental results show that the proposed method is very useful for the discrimination of ambient lighting source, fluorescent of 6000K and incandescent lamp of 3000K. The system was also tested for mixture of these light sources.