• Title/Summary/Keyword: Variable Weights

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A Study for the Unit Nonresponse Calibration using Two-Phase Sampling Method

  • Yum, Joon Keun;Jung, Young Mee
    • Communications for Statistical Applications and Methods
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    • v.9 no.2
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    • pp.479-489
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    • 2002
  • The case which applies two-phase sampling to stratification and nonresponse problem, it is a poweful and effective technique. In this paper we study the calibration estimator and its variance estimator for the population total using two-phase sampling method according to the of auxiliary information for population and sample having strong correlation with an interested variable in unit nonresponse situation. The auxiliary information that available both at first-phase and second-phase sampling can be used to improve weights by the calibration procedure. A weight which corresponds to the product of sampling weights and response probability is calculated at each phase of sampling.

A Study on Weight of Consideration Factors in Layout Development for Machinery Industries using Improvemant-type Heuristics (개선형 탐색법에 의한 기계공장 배치안 작성시 고려요소별 가중치의 크기에 관한 연구)

  • Moon, Gee-Ju
    • Journal of the Korean Operations Research and Management Science Society
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    • v.20 no.2
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    • pp.109-123
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    • 1995
  • Weight of the factors to be considered in layout development with improvement-type heuristics is discussed in this paper. Determination of weight is especially important if it is designed to be used with an improvement-type heuristic. It is same as the value of variable coefficients in a multi-objective function as well as indices for departmental switching orders in the heuristic. Various weights are examined through computer simulation to verify whether the numerical values collected from machinery industries can be used as weights. And then a method to be used for searching an optimum or optimum-tending layout for machinery industries is presented using the weight.

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A Method of Object Identification from Procedural Programs (절차적 프로그램으로부터의 객체 추출 방법론)

  • Jin, Yun-Suk;Ma, Pyeong-Su;Sin, Gyu-Sang
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.10
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    • pp.2693-2706
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    • 1999
  • Reengineering to object-oriented system is needed to maintain the system and satisfy requirements of structure change. Target systems which should be reengineered to object-oriented system are difficult to change because these systems have no design document or their design document is inconsistent of source code. Using design document to identifying objects for these systems is improper. There are several researches which identify objects through procedural source code analysis. In this paper, we propose automatic object identification method based on clustering of VTFG(Variable-Type-Function Graph) which represents relations among variables, types, and functions. VTFG includes relations among variables, types, and functions that may be basis of objects, and weights of these relations. By clustering related variables, types, and functions using their weights, our method overcomes limit of existing researches which identify too big objects or objects excluding many functions. The method proposed in this paper minimizes user's interaction through automatic object identification and make it easy to reenginner procedural system to object-oriented system.

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Subband Affine Projection Adaptive Filter using Variable Step Size and Pipeline Transform (가변 적응상수와 파이프라인 변환을 이용한 부밴드 인접투사 적응필터)

  • Choi, Hun;Ha, Hong-Gon;Bae, Hyeon-Deok
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.1
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    • pp.104-110
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    • 2009
  • In this paper, we suggest a new technique which employ the pipelined architecture for the implementation of the SAP adaptive filter using variable step size. According as SAP adaptive filter is sufficiently decomposed, a simplified SAP adaptive filter can be derived, and the weights of adaptive sub-filters can be updated by a simple formular without a matrix inversion. The convergence speed and the steady state error of the simplified SAP adaptive filter are improved by using variable step size. For practical implementation, the simplified SAP adaptive sub-filters are transformed by the pipeline technique.

Inclusion of Dried Bakery Product in High Fat Broiler Diets: Effect on Pellet Quality, Performance, Nutrient Digestibility and Organ Weights

  • Catala-Gregori, P.;Garcia, V.;Madrid, J.;Orengo, J.;Hernandez, F.
    • Asian-Australasian Journal of Animal Sciences
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    • v.22 no.5
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    • pp.686-693
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    • 2009
  • A 21- to 42-day feeding study was conducted in Ross male broilers to evaluate the use of dried bakery product (DBP) and the influence of adding fat at different points in the manufacturing process. Six dietary treatments were formulated using a factorial arrangement (3${\times}$2 design) with three levels of fat in the mixer (high: 4.8%, medium: 3.8% and low: 2.8%) with or without DBP (0 and 7%). Additional fat was sprayed on pellets in a post-pelleting liquid application to bring the fat content to a similar level in all diets. Data on pellet quality (before and after post-pelleting fat addition), broiler performance, nutrient digestibility and organ weights were studied. Pellets made with DBP showed higher hardness values when measured before post-pelleting fat addition (p<0.001), although DBP did not affect final pellet hardness or durability. Higher post-pelleting hardness and durability were shown by diets to which a lower level of fat had been added in the mixer (p<0.001). In general, post-pelleting fat application improved durability (p<0.05). However, broiler performance and ileal digestibility were not affected by any of the factors tested. Dietary treatments had a significant but variable effect on carcass yield (p<0.01), although there were no differences among treatments regarding breast and leg yield, abdominal fat or organ weights. The results indicate that up to 7% DBP could be used in the broiler diet without impairing performance, ileal digestibility or organ weights. The place or point of fat addition in the manufacturing process has a strong influence on pellet quality.

DIVERGENT SELECTION FOR POSTWEANING FEED CONVERSION IN ANGUS BEEF CATTLE V. PREDICTION OF FEED CONVERSION USING WEIGHTS AND LINEAR BODY MEASUREMENTS

  • Park, N.H.;Bishop, M.D.;Davis, M.E.
    • Asian-Australasian Journal of Animal Sciences
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    • v.7 no.3
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    • pp.441-448
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    • 1994
  • Postweaning performance data were obtained on 187 group fed purebred Angus calves from 12 selected sires (six high and six low feed conversion sires) in 1985 and 1986. The objective of this portion of the study was to develop prediction equations for feed conversion from a stepwise regression analysis. Variables measured were on-test weight (ONTSTWT), on-test age (ONTSTAG), five weights by 28-d periods, seven linear body measurements: heart girth (HG), hip height (HH), head width (HDW), head length (HDL), muzzle circumference (MC), length between hooks and pins (HOPIN) and length between shoulder and hooks (SHHO), and backfat thickness (BF). Stepwise regressions for maintenance adjusted feed conversion (ADJFC) and unadjusted feed conversion (UNADFC) over the first 140 d of the test, and total feed conversion (FC) until progeny reached 8.89 mm of back fat were obtained separately by conversion groups and sexes and for combined feed conversion groups and sexes. In general, weights were more important than linear body measurements in prediction of feed utilization. To some extent this was expected as weight is related directly to gain which is a component of feed conversion. Weight at 112 d was the most important variable in prediction of feed conversion when data from both feed conversion groups and sexes were combined. Weights at 84 and 140 d were important variables in prediction of UNADFC and FC, respectively, of bulls. ONTSTWT and weight at 140 d had the highest standardized partial regression coefficients for UNADFC and ADJFC, respectively, of heifers. Results indicated that linear measurements, such as MC, HDL and HOPIN, are useful in prediction of feed conversion when feed in takes are unavailable.

Shape, Volume Prediction Modeling and Identical Weights Cutting for Frozen Fishes (동결생선의 외형과 부피 예측 모델링 및 정중량 절단)

  • Hyun, Soo-Hwan;Lee, Sung-Choon;Kim, Kyung-Hwan;Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.3
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    • pp.294-299
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    • 2012
  • This paper suggests a modeling technique for shape and volume prediction of fishes to cut them with identical weights for group meals. The measurement and prediction of frozen fishes for group meals are very difficult because they have a bending deformation occurring at frozen stage and a hollow by eliminating the internals. Besides there exist twinkles problem of surface caused by freeze and variable weights by moisture conditions. Therefore a complex estimation algorithm is necessary to predict the shape and volume prediction of fishes exactly. Hollow prediction, pattern classification and modeling for tails using neural network, integration based volume prediction algorithm are suggested and combined to solve those problems. In order to validate the proposed method, the experiments of 3-dimensional measurement, volume prediction and fish cutting for spanish mackerel, saury, and mackerel are executed. The cutting experiments for real fish are executed.

Recalibration Estimation for Unit Nonresponse at the Two Levels Auxiliary Information

  • Yum, Joon Keun;Son, Chang Kyoon;Jeung, Young Mee
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.665-678
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    • 2003
  • In this paper we suggest the new calibration estimator, which is called to the recalibration estimator, and its variance estimator using two-phase sampling technique according to the auxiliary information having strong correlation with the variable of interest under the unit nonresponse. In this unit nonresponse situation, an available information may exists at the level of whole population or the first-phase sample. The proposed recalibration estimator derives from the first and second phase weights respectively.

The Effect of Variable Learning Weights in Fuzzy c-means algorithm (Fuzzy c-means 알고리즘에서의 가변학습 가중치의 효과)

  • 박소희;조제황
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.109-112
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    • 2001
  • 기존의 K-means 알고리즘은 학습벡터가 단일군집에 할당되는 방법이 crisp 이므로 다른 군집에 할당될 확률을 무시하게 된다. 따라서 군집화 작업과 관련하여 반복적인 코드북 설계 과정에서 각 학습벡터를 다중 군집으로 할당하는 Fuzzy c-means를 사용한다. 또한 Fuzzy c-means 알고리즘의 학습과정에서 구해지는 각 클래스 의 프로토타입에 가중치를 곱하여 다음 학습의 프로토타입으로 사용함으로써 Fuzzy c-means 알고리즘 적용 결과 얻어지는 코트북의 성능을 기존 알고리즘과 비교하여 개선된 Fuzzy c-means 알고리즘을 찾기 위한 근거를 마련한다.

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Development of Drift Design Method Considering Characteristics of Member Forces (부재력 특성을 고려한 변위조절설계법 개발)

  • 서지현;박효선
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.123-129
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    • 2003
  • Drift design using resizing techniques can be a very practical method in drift design of high-rise buildings since it cannot require sensitivity analysis and structural re-analysis. Resizing techniques has used the cross sectional areas as design variable and supposed that displacement participation factors are inversely proportional to structural weights. Efficiency of resizing techniques based on displacement participation factors may depend on proper selection of sectional properties as design variables. In this study, two different drift design methods with the different sectional properties as design variables are presented and applied to a 20-story structure.

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