• 패션비즈니스
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• 제21권5호
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• pp.78-90
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• 2017

This study investigates the effects of appearance management behaviors on job search efficacy among female college students. Based on previous studies on appearance management behaviors and job search efficacy, the questionnaire items were developed. For the study, we conducted a questionnaire survey among 312 students from women's university in Seoul. The statistical analyses were performed using SPSS 23. The results were as follows. First, three types of appearance management factors have been identified: 'fashion & hair,' 'skin care & plastic surgery,' and 'body shape'; the reliability and validity of these factors were proved. Second, the appearance management behavior of female college students found to have a partially significant effect on job search efficacy: fashion & hair factor had a positive effect on job search strength; fashion & hair factor and body shape factor had a positive effect on job search skills. While skin care & plastic surgery factor had a negative effect on job search strength and job search skill. Third, between academic years, there were differences in job search efficacy but not in appearance management behavior. By majors, there were differences among skin care & plastic surgery factor, body shape factor, and job search strength factor. These results suggest that to improve the job search efficacy, proper appearance management through fashion and hair, and body shape management is necessary. In addition, it suggests that it is important to improve the effectiveness of employment by establishing the appearance management strategy that matches the characteristics of each major.

• 한방안이비인후피부과학회지
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• 제13권1호
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• pp.253-266
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• 2000

In order to strengthen objectivity and availability of oriental herb medicine, the standard formula for herbs has been attempted to set up by experimenting and documentary testing original herbs which were recorded in authorized document. The object herb medicine is Codonopsis Pilosulae Radix. The internal and external morphological standard in this study is expected to supply the search for several physiochemical reaction, biological reaction, determination of indicator material and identification of gene with basic sources in the future. The result of study is as follows; In the external shape, it was possible that herbs were distinguished according to artificial classification and that same genus-degree of relatedness among herbs could be distinguished by more precise and active observation. In the shape of real herbs, I compared current herbs in market with original herbs which were just collected or were on the course of drying. In addition, it was possible that the internal shape could be identified by using microscope after butanol series. In powder herbs, it was possible to purify the shape by microscope through maceration of natural and powder herbs. Though it was impossible to make distinction of herbs which are not current in my search contents, this search contents will be a standard for alpplying herbs in the future. Despite such a useful character, it was difficult to deal with power herbs because it was uncertain to make a standard for them on account of the crush of these tissue. Since powders shape of herbs in a few documents were regard not as the powder shapes of natural herbs but as the maceration state of them. It is suggested that we should inspect the original herbs which are not crushed yet with a microscope in order to identify crushed shape of powder herbs from now on. An Additional standard establishment including physiochemical reaction and gene research is required in order to supplement the fault of this search. As for the supplement about this search, considering that many kinds of same genus-degree of relatedness are being current now, it is necessary that each herb should he collected only after identifying and that the succeeding search of each herb should be proceeded for the regular establishment of internal and external standard.

• 한국멀티미디어학회논문지
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• 제12권4호
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• pp.492-501
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• 2009

동영상에서 객체의 동작 정보는 장면의 내용을 분류하고 구분하는 중요한 정보로 이용될 수 있다. 본 논문에서는 동영상에서 객체의 동작을 효과적으로 찾기 위한 모양기반 동작 검색 방법을 제안한다. 객체의 동작 정보는 동영상 프레임에서 객체 영역을 추출하여 연속된 2차원 모양 정보로 표현되고, 각각의 2차원 모양 정보는 모양 기술자를 이용하여 1차원 모양 특정값으로 변환된다. 순서에 따라 나열된 모양 기술자 시퀀스를 이용하여 개별 동작의 분할 과정 없이 문서에서 단어를 검색하듯이 동영상에서 객체의 동작을 검색할 수 있다. MPEG-7 모양 변화 기술자와의 성능 비교 실험을 통하여 제안된 방법이 객체의 동작 정보를 보다 효과적으로 표현할 수 있으며, 동작 검색 및 분석 응용에 적용할 수 있음을 보였다.

• 한국CDE학회논문집
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• 제20권4호
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• pp.321-327
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• 2015

In the protein database search, 3D structural shape comparison for protein screening plays a important role. Protein databases have big size and have been grown rapidly. Exhaustive search methods cannot provide a satisfactory performance. As protein is composed of a set of spheres, the similarity calculation of two set of spheres is very expensive. Thus, a reasonable filtering method could be an answer for the speedup of protein screening. In this paper, we suggest a speedup method for protein screening with atom number and bounding sphere. We also show some experimental results for the validity of our method.

• 한국해양공학회지
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• 제27권5호
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• pp.36-42
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• 2013

We present the optimum design for the cross-sectional(sizing) and shape optimization of truss structures with natural frequency constraints. The optimum design method used in this paper employs continuous design variables and the Harmony Search Algorithm(HSA). HSA is a meta-heuristic search method for global optimization problems. In this paper, HSA uses the method of random number selection in an update process, along with penalty parameters, to construct the initial harmony memory in order to improve the fitness in the initial and update processes. In examples, 10-bar and 72-bar trusses are optimized for sizing, and 37-bar bridge type truss and 52-bar(like dome) for sizing and shape. Four typical truss optimization examples are employed to demonstrate the availability of HSA for finding the minimum weight optimum truss with multiple natural frequency constraints.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.669-672
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• 2009

제안된 방법은 3차원 모델로부터 형상 기술자를 추출하고, 형상의 유사성을 비교하기 위해 특징 기술자를 이용한다. 대부분의 검색 방법들은 데이터베이스에서 개별적인 3차원 모델의 비교와 검색에 중점이 되어있지만, 본 유사성 검색 방법은 형상 유사성을 이용하여 3차원 물체의 부재 비교와 검색에 초점이 맞추었다. 물체의 부재 유사성 검색 방법은 3차원 모델들의 유사한 부분을 찾는 것과 유사한 부분을 포함하는 3차원 모델을 찾는 것으로 확장된다. 성능 평가를 위한 실험에서 유사한 3차원 석탑 모델의 부재를 효과적으로 검색하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.670-674
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• 1996

In automated search of a design database to support mechanical design, it is necessaryto recognize a shape pattern which represents a design object. This paper introduces the concept of a surface relation graph (SRG) for recognizing shape patterns from a 3D boundary representation scheme of a solid model(a B-rep model). In SRG, the nodes and arcs correspond to the faces and edges shared by two adjacent faces, respectively. An attribute assigned to an arc is given by an integer which discriminates the relationship between two adjacent faces. The + sign of the integer represents the geometric convexity of the solid, and the -sign the concivity at the shared edge. The input shape is recognized by comparison with the predefined features which are subgraphs of the SRG. A hierarchyof the database for upporting the design is presented. A search for the design database is also discussed. The usefulness of this method is illustrated by some application results.

• 제어로봇시스템학회논문지
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• 제13권8호
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• pp.790-797
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• 2007

This paper proposes a new measure of cost function ruggedness in local optimization with DEAS. DEAS is a computational optimization method developed since 2002 and has been applied to various engineering fields with success. Since DEAS is a recent optimization method which is rarely introduced in Korean, this paper first provides a brief overview and description of DEAS. In minimizing cost function with this non-gradient method, information on function shape measured automatically will enhance search capability. Considering the search strategies of DEAS are well designed with binary matrix structures, analysis of search behaviors will produce beneficial shape information. This paper deals with a simple quadratic function contained with various magnitudes of noise, and DEAS finds local minimum yielding ruggedness measure of given cost function. The proposed shape information will be directly used in improving DEAS performance in future work.

• 대한토목학회논문집
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• 제32권6A호
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• pp.369-378
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• 2012

이 연구에서는 풍력 터빈 블레이드의 형상 최적화를 위한 직접탐색 기반의 최적화 기법을 적용하고, 최적화 기법간의 성능을 비교하여 효과적인 방법을 제안하고자 하였다. 이를 위하여 수평축 풍력 터빈의 최적설계 코드인 HARP_Opt(Horizontal Axis Rotor Performance Optimizer)을 기반으로 연간 발전량 평가 방법을 수정하고, HARP_Opt에서 적용하고 있는 기존의 유전자 알고리즘과 함께 패턴 서치 방법을 추가 적용하였다. 이를 1MW급 풍력 발전 터빈 블레이드의 단면 형상 최적 설계 문제에 적용하였으며, 기존의 유전자 알고리즘 및 마이크로 유전자 알고리즘, 그리고 패턴 서치 방법의 성능을 비교한 결과, 연간 발전량과 해의 일관성 면에 있어서는 패턴 서치 방법이 상대적으로 우수하였으며, 계산시간 측면에서는 마이크로 유전자 알고리즘이 상대적으로 우수한 것으로 분석되었다.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권1호
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• pp.22-31
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• 2004

This paper deals with the dynamic hand gesture recognition based on computer vision using neural networks. This paper proposes a global search method and a local search method to recognize the hand gesture. The global search recognizes a hand among the hand candidates through the entire image search, and the local search recognizes and tracks only the hand through the block search. Dynamic hand gesture recognition method is based on the skin-color and shape analysis with the invariant moment and direction information. Starting point and ending point of the dynamic hand gesture are obtained from hand shape. Experiments have been conducted for hand extraction, hand recognition and dynamic hand gesture recognition. Experimental results show the validity of the proposed method.