• 제목/요약/키워드: Multi-Dimensional Scaling

검색결과 107건 처리시간 0.022초

20대 한국여성의 얼굴이미지 유형과 형태적 특성 (Facial Image Type Classification and Shape Differences focus on 20s Korean Women)

  • 백경진;김영인
    • 복식
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    • 제64권3호
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    • pp.62-76
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    • 2014
  • The purpose of this study is to classify the facial images and analyze shape characteristics of Korean women in their 20s. Previous research and survey were used for the study, the surveys targeted 220 university students in their 20s. The subjects of the experiment were 20-24 year-old Korean women. SPSS 12.0 statistics program was used to analyze the results, and factor analysis, Cronbach's ${\alpha}$ reliability analysis, and multidimensional scaling(MDS) were executed. The results of the study are as follows: First, the facial image types of Korean women in their 20s were classified into 4 categories as 'Youthfulness', 'Classiness', 'Friendliness', and 'Activeness'. Second, the multi-dimensional scaling method was performed and two orthogonal dimensions for the facial image of the Korean women were suggested: strong - soft and classy-friendly. Third, by analyzing the basic statistics concerning the structural characteristics of facial image of Korean women, there were differences in structural characteristics that form the facial images. Especially, significant difference appeared in items related forehead, eyebrows, eyes and jaw.

Direct ECC Bypass Phenomena in the MIDAS Test Facility During LBLOCA Reflood Phase

  • B.J. Yun;T.S. Kwon;D.J. Euh;I.C. Chu;Park, W.M.;C.H. Song;Park, J.K.
    • Nuclear Engineering and Technology
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    • 제34권5호
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    • pp.421-432
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    • 2002
  • As one of the advanced design features of the APR1400, direct vessel injection (DVI) system is being considered instead of conventional cold leg injection (CLI) system. It is known that the DVI system greatly enhances the reliability of the emergency core cooling (ECC) system. However, there is still a dispute on its performance in terms of water delivery to the reactor core during the reflood phase of a large-break loss-of-coolant accident (LOCA). Thus, experimental validation is under progress. In this paper, test results of direct ECC bypass performed in the steam-water test facility tailed MIDAS (Multi-dimensional Investigation in Downcomer Annulus Simulation) are presented. The test condition is determined, based on the preliminary analysis of TRAC code, by applying the ‘modified linear scaling method’with the l/4.93 length scale . From the tests, ECC direct bypass fraction, steam condensation rate and information on the flow distribution in the upper annulus downcomer region are obtained.

저자용인용 메핑과 학문의 지적구조변화 (Author co-citation mapping and changes of intellectual structure in a subject area : with reference to Korean history)

  • 조명희
    • 정보관리학회지
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    • 제10권1호
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    • pp.65-96
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    • 1993
  • 본 연구는 학문영역의 지적구조의 변천과정을 규명하기 위하여 저자 공인용 데이터에 근거한 저자 유사도에 따라 저자를 매핑하며, 한국학 분야의 핵심연구영역인 한국사를 대상으로 1980년대를 두시기로 나누어 추적조사한다. 본 연구에서 사용하는 분석기법은 다차원축적과 군집분석이며, 더욱 미시적인 분석을 위하여 인자분석도 행한다. 또한 객관적 분석방법인 저자공인용 분석 결과와 한국사 연구자들의 주관적 평가를 비교하여 저자공인용 연구에 대한 타당성 평가를 행한다.

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갑상선 분화암에서 로봇을 이용한 측경부 림프절 절제술 (Robotic Lateral Compartment Selective Neck Dissection in Well-Differentiated Thyroid Carcinoma)

  • 태경
    • 대한기관식도과학회지
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    • 제17권2호
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    • pp.83-88
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    • 2011
  • Robotic thyroidectomy has been developed to minimize neck scarring, and several authors have described its feasibility and safety, and have reported surgical outcomes comparable with conventional open thyroidectomy. The da Vinci surgical system robot provides a three-dimensional $10-12{\times}$magnified view of the surgical area. It also provides hand-tremor filtration, fine motion scaling, and precise and multi-articulated hand-like motions. Recently, robotic technology has also been applied to lateral compartment neck dissection in thyroid cancer. We have developed a new novel selective neck dissection procedure by a gasless unilateral axillo-breast (GUAB) approach with a da Vinci Surgical System for well-differentiated thyroid carcinoma to avoid a long visible neck scar. Based on our early experience, robotic selective neck dissection by GUAB approach is a safe, feasible and cosmetically excellent procedure. It can be an alternative to conventional open surgery in the highly selected patients with well-differentiated thyroid carcinoma. The oncologic safety of robotic selective neck dissection should be verified with long-term follow-up data.

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수중 센서 네트워크에서 수심, 수온, 염도를 고려한 환경에서 MDS를 이용한 위치인식 연구 (MDS-based Localization Reflecting Depth, Temperature, and Salinity of Ocean in Underwater Acoustic Sensor Networks(UWASNs))

  • 정희석;김은찬;양연모
    • 대한임베디드공학회논문지
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    • 제7권4호
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    • pp.187-191
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    • 2012
  • In these days, there are huge increases of concerning underwater acoustic sensor networks (UWASNs) to explore marine resources and to monitor climate change. To collect information from sensor nodes which are randomly deployed in underwater, Multi-Dimensional Scaling (MDS) based locating methods have been recently introduced, which consider sound speed to be constant in underwater. However, underwater sound speed tends to vary depending on underwater environment factors, such as depth, temperature, and salinity. In this paper, we propose a method considering environment factors, can influence upon sound speed in underwater, and introduce experimental setup which can follow up environmental factors.

혼합 데이터 마이닝 기법인 불일치 패턴 모델의 특성 연구 (Characteristics on Inconsistency Pattern Modeling as Hybrid Data Mining Techniques)

  • 허준;김종우
    • Journal of Information Technology Applications and Management
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    • 제15권1호
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    • pp.225-242
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    • 2008
  • PM (Inconsistency Pattern Modeling) is a hybrid supervised learning technique using the inconsistence pattern of input variables in mining data sets. The IPM tries to improve prediction accuracy by combining more than two different supervised learning methods. The previous related studies have shown that the IPM was superior to the single usage of an existing supervised learning methods such as neural networks, decision tree induction, logistic regression and so on, and it was also superior to the existing combined model methods such as Bagging, Boosting, and Stacking. The objectives of this paper is explore the characteristics of the IPM. To understand characteristics of the IPM, three experiments were performed. In these experiments, there are high performance improvements when the prediction inconsistency ratio between two different supervised learning techniques is high and the distance among supervised learning methods on MDS (Multi-Dimensional Scaling) map is long.

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민간항공 조종사의 비정상 운항 상황에 대한 위험 지각 (Commercial Airline Pilots' Risk Perception of Emergency Flight Situations)

  • 손영우;김용석;김찬;박수애
    • 한국항공운항학회지
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    • 제15권3호
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    • pp.46-56
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    • 2007
  • This research examined how pilots perceive risks when faced with emergency flight situations. We had 116 commercial airline pilots evaluate riskiness of 39 non-routine flight situations. The pilots' risk perception was analyzed as a function of their position (captain vs. first officer), expertise (expert vs. novice), and military flight experience (with vs. without military experience). Results showed that captains evaluated potential-risk situations and low-risk situations more dangerous than first officers. However, there were no differences between experts and novices, and between pilots having military flight experience and pilots not having military flight experience in risk perception. The analysis of multi-dimensional scaling revealed that the pilots used controllability as a key dimension for evaluating riskiness, though the other dimensions they used varied with their position, expertise, and military flight experience.

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의류 소재의 이미지 평가 차원 개발에 관한 연구 (Development of Evaluation Dimensions regarding the Image of Clothing Materials)

  • 신혜원;이정순
    • 한국의류학회지
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    • 제26권11호
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    • pp.1638-1648
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    • 2002
  • In this study, we classified adjectives to represent the image of clothing materials as the fundamental process for evaluation of the images on various fabrics and reviewed hierarchy and evaluation dimensions regarding the image of clothing materials. The adjectives to express the image of clothing materials were extracted from Fashion Magazine and Fashion Trend Book The similarity among adjectives was measured by pair-wise comparison without showing fabrics. From the result of the cluster analysis, 87 adjectives were finally extracted through the integrated processing of the adjectives with similar meaning and a close distance. Through the cluster analysis, the hierarchy of the clothing material images was examined. The clothing material images were classified into 12 primary sub-clusters such as ‘feminine', ‘warm', ‘neat', ‘classical', ‘pastoral.' ‘casual', ‘modern'. ‘ambiguous', ‘primitive', masculine', ‘abundant', and ‘arranged'. The dimensions evaluating the clothing material images were also developed using the multi-dimensional scaling method. A 4-dimensions and 8-axes system was established, which is composed of ‘masculine-feminine', ‘new-old', ‘casual-classical', and ‘ambiguous-arranged' images.

면직물의 구성특성이 시지각에 미치는 영향과 이미지 스케일에 관한 연구 (Effect of Constituent Characteristics of Cotton Fabrics on the Visual Perception and Image Scale)

  • 노의경;유효선
    • 한국의류학회지
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    • 제28권8호
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    • pp.1142-1152
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    • 2004
  • The purpose of this study is to verify the visual perception on various cotton fabrics of the same color. Results obtained through subjective evaluation of cotton fabrics showed that the textural adjectives could be classified into 3; warm/cool, flexibility and surface property, the sensibility adjectives into 5; simple, attractive, masculine, conservative, comfortable and visual perception adjectives into 6; hard, warm, smooth, brilliant, classic and casual. Image distribution results on 12 different fabrics, showed different distributions among textiles on visual perception due to varying texture and sensibility. In thickness, weight, weave type, bending and surface characteristics which are structure characteristics, significant differences were shown for visual perception examination. Having placed into an image scale, visual perception dimension developed divided into the 'soft-hard' axis and the 'warm-cool' axis.

저자서지결합분석에 의한 문헌정보학의 지적구조 분석에 관한 연구 (A Study on the Intellectual Structure of Library and Information Science in Korea by Author Bibliographic Coupling Analysis)

  • 박지연;정동열
    • 정보관리학회지
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    • 제30권4호
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    • pp.31-59
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    • 2013
  • 본 연구는 저자서지결합분석을 사용하여 한국 문헌정보학의 1990년대와 2000년대 지적구조와 그 변화를 분석하는데 목적을 두고 있다. 이를 위해 첫째, 군집분석, 다차원척도법을 통하여 시기별 세부 주제 영역을 밝혔다. 둘째, 네트워크 분석을 통해 세부 주제 영역 간 관계를 시각화하고 전역 중심성이 높은 주제 영역을 확인하였다. 셋째, 1990년대와 2000년대 지적구조 비교를 통해 시간의 경과에 따른 주제 영역의 흐름을 규명하였다.