• Title/Summary/Keyword: weight selection

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A Case Study on Simplified Assessment Method for Site Selection of the Waste Treatment Facilities (폐기물처리 시설 입지선정 효율화 방안을 위한 사례연구)

  • 장성호;손영일
    • Journal of environmental and Sanitary engineering
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    • v.15 no.2
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    • pp.85-94
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    • 2000
  • The comparative evaluation is the most effective method for site selection because the selection of waste treatment facility is to determine the optimum site out of limited candidate sites. This study adopted the ordinal scale evaluation, one of methods of comparative evaluation. The ordinal scale evaluation aims to determine the investigating items referring to the character of sites, to determine the importance factors for investigating items, and to determine the optimum site according to the quantitative evaluation. This study has focussed on reflecting the opinion of residents to the maximum extent with a weight on social and economic aspects, considering the state of confrontation against each other between the autonomous government organization and local residents, which is being emerged as a social issue relating to the evaluation rating on each item of site selection of an optimum site. Therefore, rational, and clear validity investigations and proper reduction of both time and expenses in site selection as well through this a study.

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Estimation of Genetic Improvement Based on the Breeding Values of Growth Traits of the Abalone Haliotis discus hannai (육종가 기반 북방전복(Haliotis discus hannai) 성장형질의 유전적 개량량 추정)

  • Park, Jong-Won;Park, Choul-Ji;Lee, Dain;Jung, Hyo Sun;Kim, Hyejin;Kim, Julan;Kim, Woo-Jin
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.53 no.4
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    • pp.544-550
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    • 2020
  • This study was conducted to estimate the genetic improvements by selection criteria using the genetic parameters and breeding values for population of abalone Haliotis discus hannai. Genetic parameters and breeding values were estimated using all measurement data of growth traits (shell length, shell width and total weight) at 18 and 30 months old after artificial fertilization for 3,029 individuals produced in April 2014. Growth traits all exhibited moderate heritability (0.253-0.354). So it is considered that family selection will be more advantageous than individual selection. It was found that a higher genetic improvement could be expected when selecting the top 10% based on the breeding values of total weight rather than other traits. In particular, a higher genetic improvement could be expected when selecting the top 10% at 30 months old than 18 months old after artificial fertilization. This seems to be because the selection differential and heritability were higher at the 30 months old. Therefore, by estimating genetic parameters and breeding values of a population for production of the next generations by stage of growth, if they are used properly in selection and mating according to the improvement direction, it is considered that more breeding effects can be expected.

Effects of selection index coefficients that ignore reliability on economic weights and selection responses during practical selection

  • Togashi, Kenji;Adachi, Kazunori;Yasumori, Takanori;Kurogi, Kazuhito;Nozaki, Takayoshi;Onogi, Akio;Atagi, Yamato;Takahashi, Tsutomu
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.1
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    • pp.19-25
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    • 2018
  • Objective: In practical breeding, selection is often performed by ignoring the accuracy of evaluations and applying economic weights directly to the selection index coefficients of genetically standardized traits. The denominator of the standardized component trait of estimated genetic evaluations in practical selection varies with its reliability. Whereas theoretical methods for calculating the selection index coefficients of genetically standardized traits account for this variation, practical selection ignores reliability and assumes that it is equal to unity for each trait. The purpose of this study was to clarify the effects of ignoring the accuracy of the standardized component trait in selection criteria on selection responses and economic weights in retrospect. Methods: Theoretical methods were presented accounting for reliability of estimated genetic evaluations for the selection index composed of genetically standardized traits. Results: Selection responses and economic weights in retrospect resulting from practical selection were greater than those resulting from theoretical selection accounting for reliability when the accuracy of the estimated breeding value (EBV) or genomically enhanced breeding value (GEBV) was lower than those of the other traits in the index, but the opposite occurred when the accuracy of the EBV or GEBV was greater than those of the other traits. This trend was more conspicuous for traits with low economic weights than for those with high weights. Conclusion: Failure of the practical index to account for reliability yielded economic weights in retrospect that differed from those obtained with the theoretical index. Our results indicated that practical indices that ignore reliability delay genetic improvement. Therefore, selection practices need to account for reliability, especially when the reliabilities of the traits included in the index vary widely.

A Study on the Subject Selection of VE Using Decision Weights Techniques (VE 대상선정을 위한 평가항목의 가중치 결정방법에 관한 연구)

  • Ryu Hyung-Han;Bae Soo-Yong;Hwang Jae-Woo;Yun Dong-Jin;Lee Sang-Beom
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2005.05a
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    • pp.149-155
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    • 2005
  • Was used at step space-time mainly after VE technique sponsors in domestic in the 1960s but have been expanded to design step recently. Possibility of value elevation or cost reduction must choose member that is effectively for active and effective application of VE technique. In this study, when enforce design VE examining for weight decision corrosion protection been using in weight grant composition estimation technique, target choice process wishes to suggest formality and method that can be achieved effectively. Main conclusion of this study sorts valuation items step by step for weight appropriation of valuation basis and give point on article of high position point after expert which employer is included estimates article by low rank step and this presented high position method that do union itembyitemandestablishesbyitemweight. Did these techniques for giving weights so that importance for weight appropriation developed estimation program, and data save of target estimation standard and target estimation standard is possible using straight sit.

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Estimation of Genetic Parameters for Wool Traits in Angora Rabbit

  • Niranjan, S.K.;Sharma, S.R.;Gowane, G.R.
    • Asian-Australasian Journal of Animal Sciences
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    • v.24 no.10
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    • pp.1335-1340
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    • 2011
  • Different genetic parameters for weaning weight and wool traits were estimated using restricted maximum likelihood (REML) in Angora rabbits. Total wool yield of first (I), second (II) and third (III) clips were taken as a separate trait under study. The records from more than 2,700 animals were analysed through fitting six animal models with various combinations of direct and maternal effects. A log likelihood ratio test was used to select the most appropriate model for each trait. Direct heritability estimates for the wool traits were found to be moderate to high across different models. Heritability estimates obtained from the best model were 0.24, 0.22, 0.20 and 0.21 for weaning weight, clip I, II and III; respectively. Maternal effects especially due to permanent environment had higher importance at clip I and found to be declining in subsequent clips. The estimates of repeatability of doe effect on wool traits were 0.44, 0.26 and 0.18 for clip I, II and III; respectively. Weaning weight had moderately high genetic correlations with clip I (0.57) and II (0.45), but very low (0.11) with clip III. Results indicated that genetic improvement for wool yield in Angora rabbit is possible through direct selection. Further, weaning weight could be considered as desirable trait for earliest indirect selection for wool yield in view of its high genetic correlation with wool traits.

Agronomic Characters and Their Correlation Coefficient on Black Seeded Soybeans Collected in Chonnam Province

  • Kwon, Byung-Sun;Choi, Seong-kyu;Shin, Jeong-Sik;Shin, Dong-Youn;Kyu Hwan
    • Plant Resources
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    • v.5 no.2
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    • pp.118-123
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    • 2002
  • In order to obtain the genetic information on the quantitative characters of black seeded soybeans, which would be needed to improve selection efficiency for breeding high yielding genotype, 45 varieties of black seeded soybeans collected in Chonnam, Korea were grown and variations of several important characters were observed. Heritability of each observed character, phenotypic and genotypic correlations among the characters and contribution of each yield component on grain yield through path coefficient analysis were estimated. Both number of pods per plant and 100-seed weight showed not only high heritability but also highly significant phenotypic and genotypic correlation with seed yield, and hence it was desirable to select plants with more number of pods per plant and higher 100-seed weight than raise seed yield of black seeded soybeans collected in Chonnam. In addition, number of pods per and 100-seed weight were proved to be the most influential variables on the viability of seed yield by path coefficient analysis. Since these showed the high heritability of number of pods per plant, selection of plants with higher 100-seed weight would be more efficient for breeding high yielding genotype.

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Link Weight Discrimination Analysis based Design of Input Nodes in ANN Models for Bankruptcy Prediction: Strong-Linked Neurons Selection and Weak-Linked Neurons Elimination Approach (연결강도판별분석에 의한 부도예측용 신경망 모형의 입력노드 설계 : 강체연결뉴론 선정 및 약체연결뉴론 제거 접근법)

  • 이웅규;손동우
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.11a
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    • pp.469-477
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    • 2000
  • 본 연구에서는 부도예측용 인공신경망 모형의 입력노드를 선정하기 위한 방법론으로 연결강도판별분석(Link Weight Discrimination Analysis)에 의한 약체뉴론제거법(Weak-Linked Neuron Elimination)과 강체뉴론선택법 (Strong-Linked Neurons Selection)을 제안한다. 연결강도판별분석이란 적절한 학습이 끝난 인공신경망 모형에서 입력노드와 연결되는 가중치의 합에 대한 절대값인 연결강도 판별식(Link Weight Discrimination)에 의해 해당 입력노 드가 출력노드에 미치는 영향정도를 분석하는 것이다. 한편 강체연결뉴론선택법은 선처리를 통해 얻어진 학습된 인공신경망의 입력노드 가운데서 연결강도판별식이 큰 뉴론만을 본처리의 입력노드로 선정하는 것인데 비해 약체연결뉴론제거법은 연결강도판별식이 일정 값 즉, 연결강도 판별임계치(Link Weight Discrimination Cut off Value) 보다 낮은 입력노드를 제외하고 나머지 입력노드만을 본처리의 입력노드로 선정하는 것이다. 본 연구에서는 강체연결뉴론선택법과 약체연결뉴론제거법을 각각 정형적인 방법론으로 정립하고 이 방법론에 의해 부도예측용 인공신경망을 구축하여 각각의 모형을 의사결정트리에 의해 선정된 인공신경망 모형 및 선처리 과정을 거치지 않은 인공신경망 모형과 성능을 비교, 분석하여 본 연구에서 제안한 방법론의 타당성을 제시하였다.

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A STUDY ON ESTIMATION OF HERITABILITY OF BIRTH WEIGHT AND WEANING WEIGHT OF TEDDY GOATS KEPT UNDER PAKISTANI CONDITIONS

  • Tahir, M.;Younas, M.;Raza, S.H.;Lateef, M.;Iqbal, A.;Raza, P.N.
    • Asian-Australasian Journal of Animal Sciences
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    • v.8 no.6
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    • pp.595-597
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    • 1995
  • The mean birth weight and weaning weight estimated from 777 kids from 30 bucks of Teddy goats were $1.67{\pm}0.31$ and $8.50{\pm}2.18kg$, respectively. The estimates of heritability of birth weight and weaning weight by half sib correlation method were $0.048{\pm}0.022$ and $0.101{\pm}0.012kg$, respectively. The high heritability estimates of birth weight indicates that selection on the basis of individual's own record will be effective. The low estimates of heritability of weaning weight indicates more emphasis should be given to improve environmental conditions for better achievement.

Improving the Performance of a Fast Text Classifier with Document-side Feature Selection (문서측 자질선정을 이용한 고속 문서분류기의 성능향상에 관한 연구)

  • Lee, Jae-Yun
    • Journal of Information Management
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    • v.36 no.4
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    • pp.51-69
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    • 2005
  • High-speed classification method becomes an important research issue in text categorization systems. A fast text categorization technique, named feature value voting, is introduced recently on the text categorization problems. But the classification accuracy of this technique is not good as its classification speed. We present a novel approach for feature selection, named document-side feature selection, and apply it to feature value voting method. In this approach, there is no feature selection process in learning phase; but realtime feature selection is executed in classification phase. Our results show that feature value voting with document-side feature selection can allow fast and accurate text classification system, which seems to be competitive in classification performance with Support Vector Machines, the state-of-the-art text categorization algorithms.

Basic Studies on the Breeding of Fiber Flax (Linum usitatissimum L.) in Korea (섬유용 아마(Linum usitatissimum L.)의 육종에 관한 기초적 연구)

  • Kyu-Yong Chung
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.19
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    • pp.83-99
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    • 1975
  • The earliness to flowering was completely dominant over the lateness, and the short plant height and stem length were partially dominant over the tall. The heavy stem weight, however, was recessive to the light. Heritability values for the flowering period, plant height, dry stem weight and fiber ratio were high, while those of days to initial flowering, stem length and fiber weight were low. Flowering period, plant height, stem weight, dry stem weight and fiber ratio were closely related to fiber weight or fiber yield. The selection index estimated jointly the plant height ($X_1$), dry stem weight($X_2$) and fiber weight($X_3$); that is 0.0020$X_1$-0.0047$X_2$-0.0181$X_3$, was the most efficient one for the selection practices. The plant height was the most reliable character for the increased genetic advances and the relative selection efficiences. Effects of locations and genotype-environment interactions were highly significant in most of the characters investigated.

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