• 제목/요약/키워드: Distance weight

검색결과 954건 처리시간 0.021초

일부 대학생의 체형 만족 정도와 식사 장애 위험 정도의 관계 연구 (Study on Association between Risk of Eating Disorder and Self-Esteem on Body Image)

  • 남희정;김영순
    • 한국식품영양학회지
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    • 제18권2호
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    • pp.115-126
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    • 2005
  • This Quantitative study was investigated to examine the relationship between self-esteem on body image and disordered eating patterns in some university students. This study used a cross-sectional study design. Total 347 students participated in this study (88 male and 259 female) among three universities. The assessment of eating disorder was conducted by Eating Attitudes Test (EAT-26), a score of >or=20 identified individuals likely have an eating disorder, including anorexia nervosa and bulimia nervosa. Ideal body weight and current body weight were completed with self-evaluation. A distorted body image was independently related to the eating problem in the Logistic regression analysis. There were stronger relationships between their EAT-26 scores and their expected weight changes and weight control behaviors. Compared with the men, women showed highly wishful to loss for current body weight. In the relationship between score of EAT-26 and BMI distance by sex, levels of eating disorder showed linearly elevated toward increased BMI distance (Ideal BMI-Current BMI) (F-value=18.794, p<0.0001) in women, but there were not significant in men (F-value=2.028, p>0.05). In estimate on state-trait anxiety inventory according to quartile of BMI distance by sex, levels of state-trait anxiety were not significant difference by degree of body dissatisfaction in all sex. In addition, higher distorted body image was significantly increased numbers of weight control method and experience of side effects in female, but there were not showed significant relation between two variables in male.

Robustness of Minimum Disparity Estimators in Linear Regression Models

  • Pak, Ro-Jin
    • Journal of the Korean Statistical Society
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    • 제24권2호
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    • pp.349-360
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    • 1995
  • This paper deals with the robustness properties of the minimum disparity estimation in linear regression models. The estimators defined as statistical quantities whcih minimize the blended weight Hellinger distance between a weighted kernel density estimator of the residuals and a smoothed model density of the residuals. It is shown that if the weights of the density estimator are appropriately chosen, the estimates of the regression parameters are robust.

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Empirical Comparisons of Disparity Measures for Three Dimensional Log-Linear Models

  • Park, Y.S.;Hong, C.S.;Jeong, D.B.
    • Journal of the Korean Data and Information Science Society
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    • 제17권2호
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    • pp.543-557
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    • 2006
  • This paper is concerned with the applicability of the chi-square approximation to the six disparity statistics: the Pearson chi-square, the generalized likelihood ratio, the power divergence, the blended weight chi-square, the blended weight Hellinger distance, and the negative exponential disparity statistic. Three dimensional contingency tables of small and moderate sample sizes are generated to be fitted to all possible hierarchical log-linear models: the completely independent model, the conditionally independent model, the partial association models, and the model with one variable independent of the other two. For models with direct solutions of expected cell counts, point estimates and confidence intervals of the 90 and 95 percentage points of six statistics are explored. For model without direct solutions, the empirical significant levels and the empirical powers of six statistics to test the significance of the three factor interaction are computed and compared.

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비중 상한 제약조건에 따른 포트폴리오 성과에 대한 투자 비중 분석 (Weight Vector Analysis to Portfolio Performance with Diversification Constraints)

  • 박경찬;김홍선;김성문
    • 경영과학
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    • 제33권4호
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    • pp.51-64
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    • 2016
  • The maximum weight of single stock in mutual fund is limited by regulations to enforce diversification. Under incomplete information with added constraints on portfolio weights, enhanced performance had been reported in previous researches. We analyze a weight vector to examine the effects of additional constraints on the portfolio's performance by computing the Euclidean distance from the in-sample tangency portfolio, as opposed to previous researches which analyzed ex-post return only. Empirical experiment was performed on Mean-variance and Minimum-variance model with Fama French's 30 industry portfolio and 10 industry portfolio for the last 1,000 months from August 1932 to November 2015. We find that diversification-constrained portfolios have 7% to 26% smaller Euclidean distances with the benchmark portfolio compared to those of unconstrained portfolios and 3% to 11% greater Sharpe Ratio.

Heavy-Weight Component First Placement Algorithm for Minimizing Assembly Time of Printed Circuit Board Component Placement Machine

  • Lee, Sang-Un
    • 한국컴퓨터정보학회논문지
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    • 제21권3호
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    • pp.57-64
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    • 2016
  • This paper deals with the PCB assembly time minimization problem that the PAP (pick-and-placement) machine pickup the K-weighted group of N-components, loading, and place into the PCB placement location. This problem considers the rotational turret velocity according to component weight group and moving velocity of distance in two component placement locations in PCB. This paper suggest heavy-weight component group first pick-and-place strategy that the feeder sequence fit to the placement location Hamiltonean cycle sequence. This algorithm applies the quadratic assignment problem (QAP) that considers feeder sequence and location sequence, and the linear assignment problem (LAP) that considers only feeder sequence. The proposed algorithm shorten the assembly time than iATMA for QAP, and same result as iATMA that shorten the assembly time than ATMA.

Artificial Intelligence-Based Descriptive, Predictive, and Prescriptive Coating Weight Control Model for Continuous Galvanizing Line

  • Devraj Ranjan;G. R. Dineshkumar;Rajesh Pais;Mrityunjay Kumar Singh;Mohseen Kadarbhai;Biswajit Ghosh;Chaitanya Bhanu
    • Corrosion Science and Technology
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    • 제23권3호
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    • pp.228-234
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    • 2024
  • Zinc wiping is a phenomenon used to control zinc-coating thickness on steel substrate during hot dip galvanizing by equipment called air knife. Uniformity of zinc coating weight in length and width profile along with surface quality are most critical quality parameters of galvanized steel. Deviation from tolerance level of coating thickness causes issues like overcoating (excess consumption of costly zinc) or undercoating leading to rejections due to non-compliance of customer requirement. Main contributor of deviation from target coating weight is dynamic change in air knives equipment setup when thickness, width, and type of substrate changes. Additionally, cold coating measurement gauge measure coating weight after solidification but are installed down the line from air knife resulting in delayed feedback. This study presents a coating weight control model (Galvantage) predicting critical air knife parameters air pressure, knife distance from strip and line speed for coating control. A reverse engineering approach is adopted to design a predictive, prescriptive, and descriptive model recommending air knife setups that estimate air knife distance and expected coating weight in real time. Implementation of this model eliminates feedback lag experienced due to location of coating gauge and achieving setup without trial-error by operator.

중소형 살포기의 살포량 측정에 따른 성능 분석 (The Performance Analysis for Amounts of Sprayed Quantity by Using the Small and Medium-Sized Sprayer)

  • 민병로;홍준택;이대원;김재열
    • 한국축산시설환경학회지
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    • 제19권1호
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    • pp.19-24
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    • 2013
  • This study is to promote domestic environmentally appropriately conditions for the range 60~70 m, the development of the small and medium-sized sprayer ability measurement that can be used as a general-purpose paddy fields, orchards, and not consolidated areas. The sprayer designed and manufactured that can spraying effectively distance to within 60~70 m. Distribution of sprayed pesticides were obtained and analyzed by measuring the weight. Performance analysed using the buckets were placed horizontally 12.5 m, 70 m vertical intervals by $5m{\times}2.5m$, so total 68 buckets were placed. Total amounts of sprayed quantity was $2,000{\ell}$ and maximum spray distance was about 70 m. Reasonably sprayed region was 5 m~10 m vertically symmetrical. Showed a lot of spraying water in 5 m~40 m distance, and in 45~60 m tended to spraying water decreased slightly. Maximum spraying distance was 70 m.

거리 제한을 이용한 색인 시스템 (An Index System using Restrictive Distance)

  • 박찬이;김상복
    • 한국컴퓨터정보학회논문지
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    • 제11권1호
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    • pp.273-282
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    • 2006
  • 한본 논문에서는 단어 가중기법에 거리 개념을 도입한 색인 기법을 제안한다. 본 색인 기법은 질의어와 문서를 대표하는 색인의 대부분은 복합명사 혹은 인접한 두개 이상의 명사 또는 명사구가 많으며 이들 명사간의 거리가 멀면 멀수록 색인으로 선택되는 비율이 줄어드는 점을 착안하여, 이를 기존의 가중치 부여 기법으로 색인어 후보를 선정하고, 후보들 간의 거리가 3어절 이내의 후보를 최종 색인으로 선정하였다. 이 방법을 이용하여 신문기사, 학술논문, 웹문서 등 100여종의 문서를 대상으로 실험한 결과 신문기사 92.03%, 학술논문 95%, 웹문서는 73..33%의 정확율을 보였다.

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해석기법에 따른 사변형망의 정확도해석에 관한 연구 (A study on the Accuracy Analysis of Quadrilateral Nets by Analytical Methods)

  • 강준묵;이진덕;한승희;이용창
    • 한국측량학회지
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    • 제6권1호
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    • pp.3-12
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    • 1988
  • 본 연구는 최소자유법를 기초로 각과 거이 관측요소를 조합시켜 동시 조정하는 결합조정방법의 해석이론을 정립하고 이를 삼각측량 삼변측량 독립 조정방법과 비교하여 그의 특성을 고찰하는데 목적이 있다. 각과 거이의 표준오차를 감소시킴에 따라, 오차분포의 비율은 삼각측량, 삼변측량 방법이 각각 39.8%, 33.9% 정도의 오차를 나타낸 반면, 조합조정(combination adjustment) 방법은 26.3%로, 낮은 비율로 나타나므로 조합기법이 보다 우월함을 알 수 있었다. 측정요소의 표준오차를 독립적으로 각각 고찰한 경우, 기하학적 표준오차의 감소율은 각 방법이 다양한 변화를 타나내었으나, 동시에 고찰한 경우는 삼각측량 75.5%, 삼변측량 74.1%, 종합기법 69.2%의 감소율을 나타내었다. Weight Factor를 증가시킴에 따라, 삼각측량 기법은 정도가 향상되었으나, 삼변측량 기법은 감소되므로, 균형 있는 Weight Factor의 결정은 중요한 의미를 가지며 이상적인 Weight Factor를 결정한다면, combination 해석기법은 보다 정확한 해석방법으로 그 활용이 기대된다.

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무선 인지 시스템에서 협력 스펙트럼 센싱을 위한 최적화된 연판정 방식 (Optimal Soft Decision for Cooperative Spectrum Sensing in Cognitive Radio Systems)

  • 이소영;김진영
    • 한국전자파학회논문지
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    • 제22권4호
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    • pp.423-429
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    • 2011
  • 협력 스펙트럼 센싱은 스펙트럼 센싱의 신뢰성 및 정확도를 높이기 위해 다수의 CR 기기들이 정보를 공유하여 면허 사용자를 검출하는 방식이다. 이때, CR 기기의 센싱 결과를 융합하는 방식에 따라 경판정 방식(hard decision method)과 연판정 방식(soft decision method)으로 구별할 수 있다. 본 논문은 면허 사용자와 CR 기기 사이의 거리에 따른 가중치가 적용된 결합 방식(Distance based Weight Combining: DWC)을 사용하여 에너지 검출기반 협력 스펙트럼 센싱을 제안하고, 이에 따른 분석 및 모의 실험 결과를 나타낸다. 면허 사용자의 신호는 OFDM 기반의 시스템을 가정하였으며, 면허 사용자와 CR 기기 사이의 무선 채널은 가우시안(Gaussian) 채널로 모델링하였다. 에너지 검출법을 위한 임계값은 각 채널의 SNR(Signal to Noise Ratio)에 따라 다르게 적용되었으며, 각 채널의 잡음 신호의 평균값으로 가정하였다. DWC를 적용한 협력 스펙트럼 센싱을 수행한 결과, 거리에 따라 다양한 검출 확률을 나타낸 단일 센싱에 비해 비교적 안정된 검출 확률을 나타내는 것으로 알 수 있었으며, 동일 이득 결합을 반영하여 협력 스펙트럼 센싱을 수행한 것보다 우수한 스펙트럼 센싱을 나타내었다.