• 정보과학회 논문지
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• 제43권12호
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• pp.1356-1364
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• 2016

본 논문에서는 딥러닝 기법 중 하나인 deep convolutional neural network (DCNN)을 이용하여 영상의 구도를 개선하는 방법을 제시한다. 기존의 구도 개선 방법들은 영상의 주요 물체의 위치를 바탕으로 한 구도 평가 점수를 정의한 뒤 최적화를 통해 평가 점수를 향상시키는 방향으로 영상을 개선한다. 이는 계산량이 많고 기존 주요 물체 검출 알고리즘의 성능에 종속적이기 때문에 영상에 따라 구도 개선이 제대로 수행되지 않는 경우가 존재한다. 본 논문에서는 영상의 특징 추출에 뛰어난 성능을 보이는 DCNN을 이용해 영상을 반복적으로 크롭하여 미학적으로 구도가 개선된 영상을 얻는 방법을 제안한다. 실험 결과 및 사용자 평가를 통해 본 논문에서 제안한 알고리즘이 주어진 영상을 특정 구도 가이드라인(삼분할법, 주요 물체의 크기 등)을 따르도록 자동으로 크롭한다는 것을 보인다.

• IEIE Transactions on Smart Processing and Computing
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• 제5권1호
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• pp.1-4
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• 2016

In this paper, we present an algorithm for adjusting the position of a user-specified object considering image aesthetics. Specifically, the user-specified object is positioned according to the rule of thirds by inserting or deleting unimportant seam lines from the image. To find such seam lines, a novel weight map is designed using the spatial and color distances from the object. We also design and analyze two approaches to seam carving and insertion. Experimental results show that the proposed method can be used as an effective semi-automatic image recomposition scheme.

• 한국산업융합학회 논문집
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• 제3권4호
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• pp.369-378
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• 2000

Conventional fractal image compression methods have many problems in searching time for matching domain block. Proposed method is an improved method of Fisher's Quadtree Decomposition in terms of time, compression ratio, and PSNR. This method determines range block in advance using QR algorithm. First, input image is partitioned to $4{\times}4$ range block and then recomposition is performed from bottom level to specified level. As a result, this proposed method achieves high encoding and decoding speed, high compression ratio, and high PSNR than Fisher's Quadtree Decomposition method.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제6권1호
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• pp.29-38
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• 2002

The purpose of this paper was to examine early numerical representations between American and Korean children. Fifty-five first graders (35 Korean and 20 American) participated in the study. According to the findings of the current study, the author concluded that the Korean children had a stronger conception of base ten representations of numbers than that of the American children. The Korean children used various strategic reasoning such as decomposition and recomposition on the basis of base 10 structure to solve addition and subtraction problems effectively. However, the author cannot conclude that language differences would be the largest factor that would make Korean children sapient in the representations of base ten structures.

• 한국컴퓨터정보학회논문지
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• 제5권4호
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• pp.189-199
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• 2000

This Present study examines the Japanese Tourist basic law, its background as well as the formation process. Furthermore, this article also investigates the contents of the tourist basic law. In addition, I intend to accomplish a comparative study between a tourist policy enacted by the tourist policy council in 1995 years and the policy enacted in the 1960ㆍ70s. As the purpose of the study is concerned, the question related to a recomposition of contents of the Japanese tourist basic law in the 21st century is considered.

• 한국전자거래학회지
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• 제12권4호
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• pp.145-163
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• 2007

서비스 지향 아키텍처는 느슨하게 연결되고 상호 호환 가능한 서비스들의 결합을 통해 어플리케이션을 구현하는 기술이다. 서비스는 적절한 입도를 갖는 구현된 비즈니스 함수로 정의할 수 있고, 잘 구성된 인터페이스를 통해 외부에 노출된다. 서비스 모델링 단계에서 서비스의 입도(granularity)가 너무 작아지면, 서비스의 재사용성, 유연성이 낮아진다. 이런 서비스 입도의 문제로 인해 도메인 분석 모델로부터 적절한 추상화 레벨을 갖는 서비스를 식별하고 정의하는 것은 매우 중요한 일이다. 본 논문에서는 도메인 분석 모델인 유스케이스 모델로부터 서비스를 식별하기 위한 절차를 제안한다. 유스케이스와 유스케이스 기술서(description)로부터 태스크 트리를 생성하고, 태스크 트리의 분할과 결합을 통해 유스케이스를 재구성한다. 이렇게 재구성된 유스케이스들로부터 서비스를 식별하고, 명세할 수 있다. 본 논문에서 제안하는 방법은 이미 널리 사용되는 UML 유스케이스 모델을 사용하므로 다양한 플랫폼과 도메인에서 서비스 모델링을 위한 개발 시간과 노력을 최소화 할 수 있을 것으로 기대된다.

• Journal of Biosystems Engineering
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• 제19권1호
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• pp.42-49
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• 1994

Texturization of plant protein means the physical or chemical recomposition method of plant protein damaged during the extracting process of soybean oil. As a stable protein supplement, substituted for meat, needs of texturized products have been increased. Twin screw extruder is a very effective tool for texturization process as a physical method. This research, using defatted soy flour as raw material and twin screw extruder manufactured in domestic, showed that plant protein was texturized successfully on the operating conditions of barrel temperature of $120{\sim}140^{\circ}C$, material feed rate of 30~36kg/hr and water content of 20~25%. It also showed that the shape of die affected the texturization continuity.

• 산업기술연구
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• 제24권B호
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• pp.29-36
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• 2004

The wind and wind-induced dynamic wind pressures fluctuate irregularly according to time and space. In this study, the proper orthogonal decomposition(POD) technique is applied to wind pressures acting on a tall tower model, and the following results are found: the along-wind and across-wind forces can be reconstructed by only four dominant POD modes, and the reconstructed errors are 4.71% and 22%, respectively for across-wind and along-wind directions. The physical meanings for dominant modes are also presented in the paper. The POD analysis can compress complex wind pressure data only by a few dominant modes and interpret spatio-temporal characteristics of wind pressure by novel way while existing statistical methods do not have such benefits.

• 한국실내디자인학회논문집
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• 제41호
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• pp.266-274
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• 2003

Synectics is one of several techniques used to enhance brainstorming by taking a more active role and introducing metaphor and structure into the process. It is unclear at what level of specificity this should be formulated as a pattern. This thesis reviews recent computational as well as experimental work on analogical reasoning based on synectics. New results regarding information processing of analogical reasoning stages, major computational models and recent attempts to compare these models are reviewed. Computational models are also discussed in the computational as well as cognitive psychology perspectives. Future directions in analogical reasoning research are proposed. The following import is the need to accommodate the typology and normal assessment in the concrete circumstances where actual reasoning and problem solving take place. In order to get to this end, we used computational models by Thagard who take the stand of ‘Computational Philosophy of Science’, which assumes ‘Weak AI’ to explicate what constitute the very pecularity of Analogical Reasoning.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권9호
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• pp.547-553
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• 2003

In this paper, we designed the PC-based analyzer of the power spectral density that could estimate the heart rate variability from time series data of R-R interval. The power spectral density estimated that it applied the autoregressive model to the measured electrocardiogram during a short period. Also, the characteristics of the designed analyzer are that it could process of the signal filtering, the generation and recomposition of time series and the feature extraction at the same time. Especially the analyzer reconstructed which applied the lowpass filter of the time series composed by the linear interpolation so as to enhance the signal-to-noise feature. We could estimate the power spectral density that confirmed a variety of power peak with low frequency range and high frequency rang of autonomic nerve by the heart rate variability.