• Title/Summary/Keyword: J-sets

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Characterization of QTL for Growth and Meat Quality in Combined Pig QTL Populations

  • Li, Y.;Choi, B.H.;Lee, Y.M.;Alam, M.;Lee, J.H.;Kim, K.S.;Baek, K.H.;Kim, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • v.24 no.12
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    • pp.1651-1659
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    • 2011
  • This study was conducted to detect quantitative trait loci (QTL) for thirteen growth and meat quality traits in pigs by combing QTL experimental populations. Two F2 reference populations that were sired by Korea native pig (KNP) and dammed by Landrace (LN) or Yorkshire (YK) were generated to construct linkage maps using 123 genetic markers (mostly microsatellites) and to perform QTL analysis on porcine chromosomes (SSCs) 1, 2, 3, 6, 7, 8, 9, 11, 13, 14, and 15. A set of line-cross models was applied to detect QTL, and a series of lack-of-fit tests between the models was used to characterize inheritance mode of QTL. A total of 23, 11 and 19 QTL were detected at 5% chromosome-wise level for the data sets of KNP${\times}$LN, KNP${\times}$YK cross and joint sets of the two cross populations, respectively. With the joint data, two Mendelian expressed QTL for live weight and cooking loss were detected on SSC3 and SSC15 at 1% chromosome-wise level, respectively. Another Mendelian expressed QTL was detected for CIE a on SSC7 at 5% genome-wise level. Our results suggest that QTL analysis by combining data from two QTL populations increase power for QTL detection, which could provide more accurate genetic information in subsequent marker-assisted selection.

A Whole Genome Association Study on Meat Palatability in Hanwoo

  • Hyeong, K.E.;Lee, Y.M.;Kim, Y.S.;Nam, K.C.;Jo, C.;Lee, K.H.;Lee, J.E.;Kim, J.J.
    • Asian-Australasian Journal of Animal Sciences
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    • v.27 no.9
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    • pp.1219-1227
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    • 2014
  • A whole genome association (WGA) study was carried out to find quantitative trait loci (QTL) for sensory evaluation traits in Hanwoo. Carcass samples of 250 Hanwoo steers were collected from National Agricultural Cooperative Livestock Research Institute, Ansung, Gyeonggi province, Korea, between 2011 and 2012 and genotyped with the Affymetrix Bovine Axiom Array 640K single nucleotide polymorphism (SNP) chip. Among the SNPs in the chip, a total of 322,160 SNPs were chosen after quality control tests. After adjusting for the effects of age, slaughter-year-season, and polygenic effects using genome relationship matrix, the corrected phenotypes for the sensory evaluation measurements were regressed on each SNP using a simple linear regression additive based model. A total of 1,631 SNPs were detected for color, aroma, tenderness, juiciness and palatability at 0.1% comparison-wise level. Among the significant SNPs, the best set of 52 SNP markers were chosen using a forward regression procedure at 0.05 level, among which the sets of 8, 14, 11, 10, and 9 SNPs were determined for the respectively sensory evaluation traits. The sets of significant SNPs explained 18% to 31% of phenotypic variance. Three SNPs were pleiotropic, i.e. AX-26703353 and AX-26742891 that were located at 101 and 110 Mb of BTA6, respectively, influencing tenderness, juiciness and palatability, while AX-18624743 at 3 Mb of BTA10 affected tenderness and palatability. Our results suggest that some QTL for sensory measures are segregating in a Hanwoo steer population. Additional WGA studies on fatty acid and nutritional components as well as the sensory panels are in process to characterize genetic architecture of meat quality and palatability in Hanwoo.

Traffic Classification Using Machine Learning Algorithms in Practical Network Monitoring Environments (실제 네트워크 모니터링 환경에서의 ML 알고리즘을 이용한 트래픽 분류)

  • Jung, Kwang-Bon;Choi, Mi-Jung;Kim, Myung-Sup;Won, Young-J.;Hong, James W.
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.8B
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    • pp.707-718
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    • 2008
  • The methodology of classifying traffics is changing from payload based or port based to machine learning based in order to overcome the dynamic changes of application's characteristics. However, current state of traffic classification using machine learning (ML) algorithms is ongoing under the offline environment. Specifically, most of the current works provide results of traffic classification using cross validation as a test method. Also, they show classification results based on traffic flows. However, these traffic classification results are not useful for practical environments of the network traffic monitoring. This paper compares the classification results using cross validation with those of using split validation as the test method. Also, this paper compares the classification results based on flow to those based on bytes. We classify network traffics by using various feature sets and machine learning algorithms such as J48, REPTree, RBFNetwork, Multilayer perceptron, BayesNet, and NaiveBayes. In this paper, we find the best feature sets and the best ML algorithm for classifying traffics using the split validation.

Structural Characterization of the J-domain of Tid1, a Mitochondrial Hsp40/DnaJ Protein

  • Sim, Dae-Won;Jo, Ku-Sung;Ryu, Kyoung-Seok;Kim, Eun-Hee;Won, Hyung-Sik
    • Journal of the Korean Magnetic Resonance Society
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    • v.16 no.1
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    • pp.22-33
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    • 2012
  • Tid1, belonging to the Hsp40/DnaJ family of proteins, functions as a cochaperone of cytosolic and mitochondrial Hsp70 proteins. In particular, the N-terminal J-domain of Tid1 (Tid1-JD) constitutes the major binding sites for proteinprotein interactions with client proteins, including p53, as well as its partner chaperone, Hsp70. In the present study, soluble, recombinant protein of Tid1-JD could be obtained by using the pCold vector system, and backbone NMR assignments were completed using the isotope $[^{13}C/^{15}N]$-enriched protein. Far-UV CD result implied that Tid1-JD is an ${\alpha}$-helical protein and the secondary structure determined using chemical shift data sets indentified four ${\alpha}$-helices with a loop region containing the HPD (conserved tripeptide of His, Pro and Asp) motif. Additionally, NMR spectra under different conditions implied that the HPD motif, which is a critical region for protein-protein interactions of Tid1-JD, would possess dynamic properties.

Optimization of Economic Load Dispatch Problem for Quadratic Fuel Cost Function with Prohibited Operating Zones (운전금지영역을 가진 이차 발전비용함수의 경제급전문제 최적화)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.5
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    • pp.155-162
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    • 2015
  • This paper proposes a deterministic optimization algorithm to solve economic load dispatch problem with quadratic convex fuel cost function. The proposed algorithm primarily partitions a generator with prohibited zones into multiple generators so as to place them afield the prohibited zone. It then sets initial values to $P_i{\leftarrow}P_i^{max}$ and reduces power generation costs of those incurring the maximum unit power cost. It finally employs a swap optimization process of $P_i{\leftarrow}P_i-{\beta}$, $P_j{\leftarrow}P_j+{\beta}$ where $_{max}\{F(P_i)-F(P_i-{\beta})\}$ > $_{min}\{F(P_j+{\beta})-F(P_j)\}$, $i{\neq}j$, ${\beta}=1.0,0.1,0.01,0.001$. When applied to 3 different 15-generator cases, the proposed algorithm has consistently yielded optimized results compared to those of heuristic algorithms.

The Analysis of Standardization in Intelligent Network Capabilities Sets Adapted Directory Technologies (디렉토리 기술이 도입된 세대별 지능망 표준화동향분석)

  • Yun, K.O.;Kang, T.G.
    • Electronics and Telecommunications Trends
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    • v.10 no.2 s.36
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    • pp.59-71
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    • 1995
  • 본 고에서는 디렉토리 기술이 도입된 세대별 지능망의 표준화 동향을 분석한다. 국제전기통신연합 전기통신표준화 분야(ITU-T)의 지능망 관련 표준화를 제 1세대, 제 1세대 보강, 제 2세대, 제 3세대, 최종적인 지능망 형태 등으로 구분하여 비교분석 하였으며, 지능망이 도입되면서 제공되는 종합 개인 통신 (UPT)을 설명하고, 종합 개인 통신을 위해 디렉토리 기술이 필요한 이유와 디렉토리의 표준화 동향을 분석하고, 지능망과 종합 개인 통신, 디렉토리 등과의 관계를 분석, 설명하였다.

CONNECTEDNESS AND COMPACTNESS OF WEAK EFFICIENT SOLUTIONS FOR VECTOR EQUILIBRIUM PROBLEMS

  • Long, Xian Jun;Peng, Jian Wen
    • Bulletin of the Korean Mathematical Society
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    • v.48 no.6
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    • pp.1225-1233
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    • 2011
  • In this paper, without assumption of monotonicity, we study the compactness and the connectedness of the weakly efficient solutions set to vector equilibrium problems by using scalarization method in locally convex spaces. Our results improve the corresponding results in [X. H. Gong, Connectedness of the solution sets and scalarization for vector equilibrium problems, J. Optim. Theory Appl. 133 (2007), 151-161].

ON HIGHER ORDER IRREGULAR SETS

  • Li, Jinjun;Wu, Min
    • Journal of the Korean Mathematical Society
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    • v.54 no.1
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    • pp.87-99
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    • 2017
  • To indicate the statistical complexity of dynamical systems, we introduce the notions of higher order irregular set and higher order maximal Birkhoff average oscillation in this paper. We prove that, in the setting of topologically mixing Markov chain, the set consisting of those points having maximal k-order Birkhoff average oscillation for all positive integers k is as large as the whole space from the topological point of view. As applications, we discuss the corresponding results on a repeller.

A STUDY ON THE QUASI TOPOS

  • Kim, Ig Sung
    • Korean Journal of Mathematics
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    • v.28 no.1
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    • pp.75-87
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    • 2020
  • Category F Rel of fuzzy sets and relations does not form a topos. J. Harding, C. Walker and E. Walker [3] showed that FRel has a tensor product and V. Durov [1] introduced basic definitions related to the notion of vectoid endowed with a tensor product. In this paper, we show that FRel forms a quasi topos. Also we show that there are quasi power objects in FRel. And by the use of the concepts of FRel and quasi topos, we get the logic operators of FRel. Moreover, we show that FRel forms a vectoid.

IGARCH 모형과 Stochastic Volatility 모형의 비교

  • Hwang, S.Y.;Park, J.A.
    • 한국데이터정보과학회:학술대회논문집
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    • 2005.10a
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    • pp.151-152
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    • 2005
  • IGARCH and Stochastic Volatility Model(SVM, for short) have frequently provided useful approximations to the real aspects of financial time series. This article is concerned with modeling various Korean financial time series using both IGARCH and Stochastic Volatility Models. Daily data sets with sample period ranging from 2000 and 2004 including KOSPI, KOSDAQ and won-dollar exchange rate are comparatively analyzed using IGARCH and SVM.

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