• 대한전자공학회논문지SD
• /
• 제43권12호
• /
• pp.8-14
• /
• 2006

본 논문에서는 노이즈에 둔감한 4*4 밴드패스 이산 코사인 (MF-DCT) 초점 값 연산자를 제안하였다. 제안된 연산자는 DCT 결과 중 중간 주파수 성분을 사용하는 8*8 MDCT 연산자를 노이즈에 둔감하도록 4 형태로 개선한 것으로써 연산자를 180도 회전하여도 같은 구조를 같도록 하였다. 이 연산자는 샘플링 주파수의 절반 부분지 주파수를 통과시키는 밴드패스 필터와 같이 동작하여 초점 정보를 가지고 있지 않는 저주파 신호와 노이즈에 의해 많은 영향을 받는 고주파 신호를 억제함으로써 노이즈에 둔감한 특성을 가진다. 또한 밴드패스 필터를 통과한 성분의 에너지를 초점 값으로 사용함으로써 초점 합의 선형성을 보장받게 된다. 실험 결과에서는 MF-DCT 연산자의 가우시안 노이즈 및 임펄시브 노이즈 특성을 살펴보기 위해 기존의 초점 값 연산자들과의 Autofocusing Uncertain Measure (AUM)비교를 통해 우수성을 검증하였다.

• Current Optics and Photonics
• /
• 제8권2호
• /
• pp.170-182
• /
• 2024

The dimensional accuracy and consistency of a dual oil circuit centrifugal fuel nozzle are important for fuel distribution and combustion efficiency in an engine combustion chamber. A point cloud measurement method was proposed to solve the geometric accuracy detection problem for the fuel nozzle. An improved variance focus measure operator was used to extract the depth point cloud. Compared with other traditional sharpness evaluation functions, the improved operator can generate the best evaluation curve, and has the least noise and the shortest calculation time. The experimental results of point cloud slicing measurement show that the best window size is 24 × 24 pixels. In the height measurement experiment of the standard sample block, the relative error is 2.32%, and in the fuel nozzle cone angle measurement experiment, the relative error is 2.46%, which can meet the high precision requirements of a dual oil circuit centrifugal fuel nozzle.

• 한국언어정보학회지:언어와정보
• /
• 제6권2호
• /
• pp.15-32
• /
• 2002

These analyses can be roughly classified into two groups: the first argue that the delimiter -to is polysemous so that it delivers either additive or concessive meaning; the second contend that it is monosemous and only conveys emphatic or concessive meaning. The current analysis mainly focuses on its two roles with regard to focus and its meaning. On the basis of the findings, a different analysis is proposed that it serves as an indicator of the presence of a type of focus which is hosted mainly by the expression it attaches to. Furthermore, it is solely responsible for the additive force, and the seemingly relevant emphatic or concessive import is derivable from an emphatic or concessive illocutionary operator which is associated with the focus indicated by -to.

• 대한산업공학회지
• /
• 제33권2호
• /
• pp.201-212
• /
• 2007

Genetic algorithms (GAs) are very useful methods for global search and have been applied to various optimization problems. They have two kinds of important search mechanisms, crossover and mutation. Because the performance of GAs depends on these operators, a large number of operators have been developed for improving the performance of GAs. Especially, many researchers have been more interested in a crossover operator than a mutation operator. The reason is that a crossover operator is a main search operator in GAs and it has a more effect on the search performance. So, we also focus on a crossover operator. In this paper we first investigate the drawback of various crossovers, especially subtour-based crossovers and then introduce a new crossover operator to avoid such drawback and to increase efficiency. Also we compare it with several crossover operators for symmetric traveling salesman problem (STSP) for showing the performance of the proposed crossover. Finally, we introduce an efficient simple hybrid genetic algorithm using the proposed operator and then the quality and efficiency of the obtained results are discussed.

• 대한수학회보
• /
• 제61권3호
• /
• pp.867-873
• /
• 2024

A pseudo-Riemannian solvmanifold is a solvable Lie group endowed with a left invariant pseudo-Riemannian metric. In this short note, we investigate the nilpotency of the Ricci operator of pseudo-Riemannian solvmanifolds. We focus on a special class of solvable Lie groups whose Lie algebras can be expressed as a one-dimensional extension of a nilpotent Lie algebra ℝD⋉n, where D is a derivation of n whose restriction to the center of n has at least one real eigenvalue. The main result asserts that every solvable Lie group belonging to this special class admits a left invariant pseudo-Riemannian metric with nilpotent Ricci operator. As an application, we obtain a complete classification of three-dimensional solvable Lie groups which admit a left invariant pseudo-Riemannian metric with nilpotent Ricci operator.

• 한국언어정보학회지:언어와정보
• /
• 제1권
• /
• pp.181-225
• /
• 1997

The semantic and pragmatic effect of inerrogative illocutionary operator is analyzed in a dynamic setting in the framework of structured meaning representation with respect to the dialogue participants' shared common ground. I propose a framework for an optinal interpretation of focus phrases in terrogatives share the essential properties of focus in general, namely that they introduce alternatives to be taken advantage of by relevant focus-sensitive operators. The theory makes an interesting prediction on the distribution and interpretation of double questions in which one question gets modified by another. A further extention of the theory is spelled out to account for other non-assertional illocutionary operators like imperatives and their foci.

• 반도체디스플레이기술학회지
• /
• 제11권3호
• /
• pp.19-25
• /
• 2012

The accuracy of Shape From Focus (SFF) technique depends on the quality of the focus measurements which are computed through a focus measure operator. In this paper, we introduce a new approach to estimate 3D shape of an object based on Gaussian process regression. First, initial depth is estimated by applying a conventional focus measure on image sequence and maximizing it in the optical direction. In second step, input feature vectors consisting of eginvalues are computed from 3D neighborhood around the initial depth. Finally, by utilizing these features, a latent function is developed through Gaussian process regression to estimate accurate depth. The proposed approach takes advantages of the multivariate statistical features and covariance function. The proposed method is tested by using image sequences of various objects. Experimental results demonstrate the efficacy of the proposed scheme.

• Journal of applied mathematics & informatics
• /
• 제41권5호
• /
• pp.1115-1128
• /
• 2023

In this paper, a novel hybrid method for multi-focus image fusion is proposed. The method combines the advantages of wavelet transform-based methods and focus-measure-based methods to achieve an improved fusion result. The input images are first decomposed into different frequency sub-bands using the discrete wavelet transform (DWT). The focus measure of each sub-band is then calculated using the Laplacian of Gaussian (LoG) operator, and the sub-band with the highest focus measure is selected as the focused sub-band. The focused sub-band is sharpened using an unsharp masking filter to preserve the details in the focused part of the image.Finally, the sharpened focused sub-bands from all input images are fused using the maximum intensity fusion method to preserve the important information from all focus images. The proposed method has been evaluated using standard multi focus image fusion datasets and has shown promising results compared to existing methods.

• 한국경영과학회:학술대회논문집
• /
• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
• /
• pp.664-667
• /
• 2004

In nuclear power plant, the main control room(MCR) plays a leading and important role, so it is the core to have its design well operater-centered, both physically and cognitively. This paper especially analyzes focusing on lighting MCR environment and shows alternatives. It will lead to improve work efficiency and to care operator's sight. In conclusion, reducing operator's stress, fatigue and increasing safety, comfort.

• 반도체디스플레이기술학회지
• /
• 제13권2호
• /
• pp.23-28
• /
• 2014

For the reconstruction of three-dimensional (3D) shape of microscopic objects through shape from focus (SFF) methods, usually a single focus measure operator is employed. However, it is difficult to compute accurate depth map using a single focus measure due to different textures, light conditions and arbitrary object surfaces. Moreover, real images with diverse types of illuminations and contrasts lead to the erroneous depth map estimation through a single focus measure. In order to get better focus measurements and depth map, we have combined focus measure operators by using genetic algorithm. The resultant focus measure is obtained by weighted sum of the output of various focus measure operators. Optimal weights are obtained using genetic algorithm. Finally, depth map is obtained from the refined focus volume. The performance of the developed method is then evaluated by using both the synthetic and real world image sequences. The experimental results show that the proposed method is more effective in computing accurate depth maps as compared to the existing SFF methods.