• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.852-862
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• 1996

This study was carried out to develop tools to detect defects of apple using machine vision. For the purpose, 6 kinds of frame for color images, R, G, B, h, S, and I frame, and a frame for near infra-red images (NIR frame) were tested first to select one which is useful to segment defect areas from apple images. After then, several methods to classify kind of defect for the segmented defect areas were developed and tested. Five kinds of apple defect -bruise , decay ,fleck worm hole and scar were investigated . The results are as follows: NIR frame was selected as the best one among the 7 kinds of image frame, and R, G and I frames showed favourable result to segment areas of apple defect. Various features of the segmented defect areas were measured to classify the defect areas. Eight kids of feature of the areas-size, roundness, axes length ratio, mean and variance of pixel values, variance of real part of spectrum, mean and variance of power spectrum resulted from spacial ourier transform were observed for the segmented defect areas in the selected 4 frames. then procedures to classify defects using the features were developed for the 4 frames and tested with 75-113 defects on apples. The test resulted that NIR and I frames showed high accuracies to classify the kind of defect as 77% and 76% , respectively.

• 한국웰니스학회지
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• 제7권2호
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• pp.25-37
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• 2012

The purpose of this study was to analyze the mass media's news framing on the elderly leisure. For this, researchers collected news articles from daily newspapers such as Chosun Ilbo, Hankyoreh, Kyunghyang Shinmun, and analysed the news framing of them through text-analytic approach. Total of 153 news the about elderly leisure between 1990 and 2010 were used for frame analysis. The Frame analyses were divided by formal frame and content frame. The formal frame was formed by deduction based on the classification method of Iyergar(1991) and the content frame was formed by induction according to the analysis of overall themes and titles of news. The main result could be summarized as follows: First, the analysis of formal frame showed that the episodic frame was predominantly high which focused on specific event or occurrences about elderly leisure. Second, it was found by content frame analysis that elderly leisure's facilities, health, serious leisure, policy frame were main subjects of news framing.

• 한국통신학회논문지
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• 제32권8C호
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• pp.675-680
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• 2007

일반적으로 천이 신호의 식별은 지진학이나 상태 모니터링 분야, 특히 수중 음향 신호 처리 분야에서 활발한 연구가 이루어지고 있다. 수중 환경에서 발생하는 천이 신호로는 돌고래와 같은 해양 생물이 내는 천이 신호와 선박, 잠수함 등에서 발생하는 인위적인 천이 신호 등이 있으며, 수중 감시 체계에서 이러한 수중 천이 신호를 식별하는 문제는 매우 중요한 연구 주제이다. 본 논문에서는 음성 인식 분야에서 우수한 인식 성능을 보이는 MFCC(Mel Frequency Cepstral Coefficient)를 기반으로, 천이 신호로 탐지된 입력 신호에 대하여 분석 프레임 단위로 MFCC 특징 벡터를 추출하고, 식별하고자 하는 데이터베이스에 있는 모든 참조 신호들의 MFCC 특징 벡터와의 유클리디언 거리(euclidean distance)를 계산한 후, 가장 작은 값을 갖는 참조 신호로 입력 프레임들을 사상(mapping)시킴으로써 사상이 가장 많이 된 참조 신호로 탐지된 수중 천이신호를 식별하는 프레임 기반의 식별 알고리즘을 제안한다.

• 복식
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• 제63권4호
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• pp.118-131
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• 2013

The purpose of this study is to take a look at the fashion frame of Korean women in their twenties and thirties to sort the actual fashion image and the ideal fashion image according to the fashion frame of Korean women in their twenties and thirties, and also to find out the standards and features that divide such a classification. For this study, we used the Q method, which is valued as an effective way to assess subjectivity. This helps to objectively classify the perception the fashion images of and the response to them as well. The analyzed materials were divided into two actual fashion frames and two ideal fashion frames, and classified them into 12 fashion image types in total, that is, six actual fashion images and six ideal fashion images, and we named each type of the fashion images and analyzed the features of each fashion image type through the in-depth Q workshop in which 14 professionals participated. The results of this study are as follows: First, the actual fashion frames of Korean women in their twenties and thirties was largely divided into 'Fashion Gold Girl', the fashion frame of mainstream and 'Indi-idol', the fashion frame of subcultures, and this was further divided into six fashion image types: 'Basic Casual', 'Vintage Performer', 'Easy Chic', 'Ladies' Look', 'City Office Girl' and 'Club Mania'. Second, the ideal fashion frame of Korean women in their twenties and thirties was divided into 'Urban Refinement', the fashion frame of the mainstream and 'Mismatched Style', the fashion frame of subcultures. It was also divided into six fashion image types: Power Fashion', 'Fashion Conservative', 'Semi-culture', 'Fashion Otaku', 'Sweet Darling' and 'Fashion Panic'. Third, The characteristics of the fashion images' colors are recognizable according to the type of fashion images.

• International Journal of Contents
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• 제4권2호
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• pp.24-28
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• 2008

In this paper, we propose a new approach for content-based video retrieval using non-parametric based motion classification in the shot-based video indexing structure. Our system proposed in this paper has supported the real-time video retrieval using spatio-temporal feature comparison by measuring the similarity between visual features and between motion features, respectively, after extracting representative frame and non-parametric motion information from shot-based video clips segmented by scene change detection method. The extraction of non-parametric based motion features, after the normalized motion vectors are created from an MPEG-compressed stream, is effectively fulfilled by discretizing each normalized motion vector into various angle bins, and by considering the mean, variance, and direction of motion vectors in these bins. To obtain visual feature in representative frame, we use the edge-based spatial descriptor. Experimental results show that our approach is superior to conventional methods with regard to the performance for video indexing and retrieval.

• 한국의류학회지
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• 제16권3호
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• pp.315-323
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• 1992

The purpose of this research is the new experimental approach to the methodology of the costume history 'study. The basic frame is structured by the concept of the type. This is developed to the decoration type of the costume, originated by the classification of the decoration type of Ruskin. Using this, the researcher could analysis the decoration type of the costumes in the 19th century. In the result, the researcher could find that the change of the decoration type had the regular orientation of the oscillation through the periods. It is the experimental frame for the analysis of the styles. But it will provide the more extensive analytical frame on condition that catagorizations are completed. And it will be able to imply to the 20th century's costume.

• Computers and Concrete
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• 제17권6호
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• pp.761-786
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• 2016

This paper proposes an automated procedure for optimum seismic design of reinforced concrete (RC) frame structures. This procedure combines a smart pre-processing using a Tree Classification Method (TCM) and a nonlinear optimization technique. First, the TCM automatically creates sections database and assigns sections to structural members. Subsequently, a real valued model of Particle Swarm Optimization (PSO) algorithm is employed in solving the optimization problem. Numerical examples on design optimization of three low- to high-rise RC frame structures under earthquake loads are presented with and without considering strong column-weak beam (SCWB) constraint. Results demonstrate the effectiveness of the TCMin seismic design optimization of the structures.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.885-886
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• 2008

This paper presents a reference template design method for frame-based classification of underwater transient signals. In the proposed method, framebased feature vectors of each reference signal are clustered by using LBG clustering algorithm to reduce the number of feature vectors in each class. Experimental results have shown that drastic reduction of the reference database can be achieved while maintaining the classification performance with LBG clustering algorithm.

• 한국정밀공학회지
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• 제12권11호
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• pp.148-158
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• 1995

This paper describes a hierarchical structure for feature definition and classification, and feature representation method based on frame structure for process planning of prismatic machined components of injection mold. The concept of Volume Removal Directions and Vertical Faces is proposed to develop a method to define and to classify features for components of injection mold systematically. A method for classifying features by the combination of volume removal directions and vertical faces is developed, and also a feature representation method by using frame structure to represent design and manufacturing information is presented.

• 한국음향학회지
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• 제27권8호
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• pp.443-449
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• 2008

이동통신에서 배경잡음이 존재하는 실제 환경에서 음성신호처리의 가장 중요한 이슈중의 하나는 강인한 음성검출기를 설계하는 것이다. 상대적으로 간단하면서도 성능이 우수하여 대표적인 음성검출기로 사용되는 통계적모델기반 기법은 각 주파수 채널별 우도비를 이용하여 음성검출 검출식을 만들어내는 방식이다. 최근, 변별적 가중치 학습 (discriminative weight training)을 이용하여 주파수 체널별 가중치가 인가된 우도비를 이용한 음성검출 결정식을 갖는 음성검출기가 제안 되었으며 상대적으로 우수한 성능을 보였다. 본 연구에서는 기존의 변별적 가중치 학습의 입력벡터에 이전프레임의 결정식을 궤환구조형태를 바탕으로 추가하는 새로운 방식을 제안한다. 제안된 기법은 비정상 (non-staionary) 잡음 환경에서 객관적인 방법을 통해 상호비교 분석되었으며 결론적으로 우수한 성능을 보였다.