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

  • Nam Hee-Jung;Kim Young-Soon
    • The Korean Journal of Food And Nutrition
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    • v.18 no.2
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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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    • v.24 no.2
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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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    • v.17 no.2
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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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Weight Vector Analysis to Portfolio Performance with Diversification Constraints (비중 상한 제약조건에 따른 포트폴리오 성과에 대한 투자 비중 분석)

  • Park, Kyungchan;Kim, Hongseon;Kim, Seongmoon
    • Korean Management Science Review
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    • v.33 no.4
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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
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.3
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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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    • v.23 no.3
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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.

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

  • Min, Byeong Ro;Hong, Jun Taek;Lee, Dae Weon;Kim, Jea Youl
    • Journal of Animal Environmental Science
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    • v.19 no.1
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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.

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

  • Park, Chan-Ee;Kim, Sang-Bok
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.1 s.39
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    • pp.273-282
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    • 2006
  • In this paper, we propose index method introducing distance concept in word by a method weighting word. This index method is frequent representing an inquiry word and document index and compound noun or more than two adjoin nouns or noun phrase, the farther the distance between these nouns, the fewer selected ratio decreases in index point is the aiming, this choose guide word candidate by existent weight grant method and distance between candidates chose candidate finally in index within 3 sentences. Using in these way I document of 100 kinds of newspaper, scientific treatise, web document and so on, showed the correctness rate resulted of newspaper 92.03% scientific treatise 95% web document 73.33%.

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

  • 강준묵;이진덕;한승희;이용창
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.6 no.1
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    • pp.3-12
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    • 1988
  • The objective of this paper is to study the characteristics of combination method to correct both angle and distance errors simultaneously based on the least square adjustment methods. Changing the standard errors of distance and angle, the simulation errors of triangultion, trilateration, and combination result in some 39.8%, 33.9%, and 26.3% respectively. As the above, combination method shows more consistent accuracy than other methods. When considering the weight factor about error elements with independence, the diminishing rate of simulated average standard error represents a various change in each method. But considering them simultaneously, it shows a remarkable rate of diminishing 75.5%, 74.1%, and 69.2% in each method. And also, by growing the weight factor, accuracy of triangulation method is growing, whereas that of trilateration is diminishing. Therefore, determining the reasonable weight factors of distance and angle errors simultaneously in the analytical combination method, this method is expected to be one of more accurate and more effective methods for determining horizontal positions on the earth.

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

  • Lee, So-Young;Kim, Jin-Young
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.4
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    • pp.423-429
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    • 2011
  • Cooperative spectrum sensing is proposed to overcome some problem such as multipath fading and shadowing and to improve spectrum sensing performance. There are different combining methods for cooperative spectrum sensing: hard decision method and soft decision method. In this paper, we analysis the performance of cooperative spectrum sensing with distance based weight that is kind of a soft decision rule for cognitive radio(CR) systems and CR systems sense the spectrum of the licensed user by using a energy detection method. Threshold is determined in accordance with the constant false alarm rate(CFAR) algorithm for energy detection. The signal of licensed user is OFDM signal and the wireless channel between a licensed user and CR systems is modeled as Gaussian channel. From the simulation results, the cooperative spectrum sensing with distance based weight combining(DWC) and equal gain combing(EGC) methods shows higher spectrum sensing performance than single spectrum sensing does. And the detection probability performance with the DWC is higher than that with the EGC.