• Title/Summary/Keyword: single selection

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Wavelength Selection Type 8 - channel WDM Light Source Module

  • Kim, Je-Ha;Yu, Sang-Wan;Jeong, Yong-Deok;Sim, Jae-Sik;Kim, Seung-Bok
    • Photonics industry news
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    • s.17
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    • pp.10-19
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    • 2003
  • We have developed a single integrated wavelengh selection type - 8channel light source module. This module oscillates in 8 wavelengh at 200GHz(1.6nm) ITU channel intervals within the c-band (1530~1560nm), and can transmit at 1.25Gbps level.

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A Two-stage Selection Procedure for Exponential Populations

  • Han, Kyung-Soo;Kim, Woo-Chul
    • Journal of the Korean Statistical Society
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    • v.16 no.1
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    • pp.37-44
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    • 1987
  • A two-stage selection procedure is considered in the case of exponential populations with common known scale parameter. The proposed procedure is designed following the lines of Tamhane and Bechhofer(1977). The design constants to implement the procedure are provided. Monte Carlo results show that the proposed procedure performs better than the single procedure by Raghvachari and Starr (1970) in terms of the expected total sample size.

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Active Secondary User Selection Algorithm of Opportunistic Spatial Orthogonalization Considering Interference by a Primary User (주 사용자의 간섭을 고려한 Opportunistic Spatial Orthogonalization의 활성 부 사용자 선택 알고리즘)

  • Yoo, Kang-Hyun;Kim, Yong-Hwa;Lee, Han-Byul;Kim, Seong-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.11A
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    • pp.892-902
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    • 2011
  • The opportunistic spatial orthogonalization (OSO) scheme, proposed by Cong Shen and Michael P. Fitz, allows the existence of secondary users during the period in which the primary user is occupying all licensed bands. This paper introduces an active secondary user selection algorithm which mitigates the interference from the primary user transmitter to the secondary user receiver based on single-input multi-output system without altering a primary user's transmission strategy. A proposed algorithm guarantees the minimum average throughput of the primary user and overcomes the average sum throughput of a conventional OSO. We have numerically analyzed the average throughput under various constraints.

Effect of single nucleotide polymorphisms on intramuscular fat content in Hungarian Simmental cattle

  • Anton, Istvan;Huth, Balazs;Fuller, Imre;Rozsa, Laszlo;Hollo, Gabriella;Zsolnai, Attila
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.9
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    • pp.1415-1419
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    • 2018
  • Objective: To estimate effect of single nucleotide polymorphisms on the intramuscular fat content (IMF) of Hungarian Simmental bulls. Methods: Genotypes were determined on high-density Illumina Bovine DNA Chip. After slaughtering of animals, chemical percentage of intramuscular fat was determined from longissimus dorsi muscle. A multi-locus mixed-model was applied for statistical analyses. Results: Analyses revealed four loci (rs43284251, rs109210955, rs41630030, and rs41642251) to be highly associated ($-{\log}_{10}P$>12) with IMF located on chromosome 1, 6, 13, and 17, respectively. The frequency of their minor alleles was 0.426, 0.221, 0.162, and 0.106. Conclusion: The loci above can be useful in selection programs and gives the possibility to assist selection by molecular tools.

Transfer Learning based on Adaboost for Feature Selection from Multiple ConvNet Layer Features (다중 신경망 레이어에서 특징점을 선택하기 위한 전이 학습 기반의 AdaBoost 기법)

  • Alikhanov, Jumabek;Ga, Myeong Hyeon;Ko, Seunghyun;Jo, Geun-Sik
    • Annual Conference of KIPS
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    • 2016.04a
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    • pp.633-635
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    • 2016
  • Convolutional Networks (ConvNets) are powerful models that learn hierarchies of visual features, which could also be used to obtain image representations for transfer learning. The basic pipeline for transfer learning is to first train a ConvNet on a large dataset (source task) and then use feed-forward units activation of the trained ConvNet as image representation for smaller datasets (target task). Our key contribution is to demonstrate superior performance of multiple ConvNet layer features over single ConvNet layer features. Combining multiple ConvNet layer features will result in more complex feature space with some features being repetitive. This requires some form of feature selection. We use AdaBoost with single stumps to implicitly select only distinct features that are useful towards classification from concatenated ConvNet features. Experimental results show that using multiple ConvNet layer activation features instead of single ConvNet layer features consistently will produce superior performance. Improvements becomes significant as we increase the distance between source task and the target task.

A Single-layer Differential Codebook Design Over Pedestrian Closed-loop MISO System (보행자 채널의 폐루프 MISO 시스템에서 적응형 단일계층 차분 코드북 설계)

  • Kim, Young-Ju
    • Journal of Broadcast Engineering
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    • v.24 no.4
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    • pp.613-622
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    • 2019
  • A differential codebook design method using wireless channel's temporal correlation is proposed over closed loop multiple-input single-output (MISO) system. The single layer codewords in a codebook are selected among a set of phase elements. In the conventional codeword selection rule, codewords are assumed to be on a spherical cap and sine formula was used. In this paper, however, a new method using Pythagoras formula is employed to simplify computational complexity. Also, an adaptive differential codebook selection is adopted to enhance performance. Monte-Carlo simulations demonstrate that the proposed codebook is superior to the conventional ones.

Development of Acaricide Resistance and Cross-Resistance in Tetranychus urticae(Acarina: Tetranychidae) (점박이응애의 설비제정항성 발달과 교차저항성에 관한 연구)

  • 김상수;이승찬
    • Korean journal of applied entomology
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    • v.28 no.3
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    • pp.146-153
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    • 1989
  • These studies were conducted to investigate development of chemical resistance in two-spotted spider mite (Tetranychus urticae Koch) trough single selection for a given period of time with five acaricides including carbophenothion and ethion of organo-phosphate compound, dicofol of organo-chlorine compound, cyhexatin of organo-tin compound, biphenthrin of synthetic pyrethroid compound; and to examine cross-resistance among the acaricides to the selected populations. The development of chemical resistance of two-spotted spider mite was greatly varied under single selection of the each five acaricides. The carbophenothion- and the ethion-populations at the 22nd and the 24th selected generations showed 156- and 64.1-fold resistant levels, respectively, as compared with the susceptible population. However, the dicofol population at the 28th selected generation exhibited 39.7-fold resistant level, and the biphenthrin population at the 24th selected generation revealed 25.2-fold resistant level, while the cyhexatin population at the 20th selected generation showed 13-fold resistant level. The carbophenothion-selected population showed high cross-resistance to ethion, and low cross-resistance to dicofol and biphenthrin. The ethion-selected population revealed also high cross-resistance to carbophenothion. The dicofol-or the biphenthrin-selected populations, however, exhibited moderate cross-resistance to carbophenothion and ethion. Meantime, the cyhexatin-selected population showed high cross-resistance to ethion and carbophenothion.

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Bayesian Selection Rule for Human-Resource Selection in Business Process Management Systems (베이지안 규칙을 사용한 비즈니스 프로세스 관리 시스템에서의 인적 자원 배정)

  • Nisafani, Amna Shifia;Wibisono, Arif;Kim, Seung;Bae, Hye-Rim
    • The Journal of Society for e-Business Studies
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    • v.17 no.1
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    • pp.53-74
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    • 2012
  • This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.

Opportunistic Relay Selection for Joint Decode-and-Forward Based Two-Way Relaying with Network Coding

  • Ji, Xiaodong;Zheng, Baoyu;Zou, Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.9
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    • pp.1513-1527
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    • 2011
  • This paper investigates the capacity rate problems for a joint decode-and-forward (JDF) based two-way relaying with network coding. We first characterize the achievable rate region for a conventional three-node network scenario along with the calculation of the corresponding maximal sum-rate. Then, for the goal of maximizing the system sum-rate, opportunistic relay selection is examined for multi-relay networks. As a result, a novel strategy for the implementation of relay selection is proposed, which depends on the instantaneous channel state and allows a single best relay to help the two-way information exchange. The JDF scheme and the scheme using relay selection are analyzed in terms of outage probability, after which the corresponding exact expressions are developed over Rayleigh fading channels. For the purpose of comparison, outage probabilities of the amplify-and-forward (AF) scheme and those of the scheme using relay selection are also derived. Finally, simulation experiments are done and performance comparisons are conducted. The results verify that the proposed strategy is an appropriate method for the implementation of relay selection and can achieve significant performance gains in terms of outage probability regardless of the symmetry or asymmetry of the channels. Compared with the AF scheme and the scheme using relay selection, the conventional JDF scheme and that using relay selection perform well at low signal-to-noise ratios (SNRs).

Conditions for Selection of Targeted Colonies in the Primary Cells

  • Chang, Mi-Ra;Oh, Keon-Bong;Lee, Kyung-Kwang;Han, Yong-Mahn
    • Proceedings of the KSAR Conference
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    • 2003.06a
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    • pp.55-55
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    • 2003
  • The random insertion of useful gene in genome has been a common method to produce transgenic animals. This method is inefficient for induction of high levels gene expression in transgenic animals. To improve this limit, we tried to develop the system which target the gene at the specific genomic region. Thus, in our experiment, the vector system to target the human thrombopoietin (TPO) gene was developed. Targeting vector including TPO, neo and DT genes was transfrcted into bovine embryonic fibroblasts (bEF) or bovine ear skin fibroblasts (bESF). First of all, we determined concentration of the geneticin (G418) for selection of transfected cell lines. Our results showed that 1200 and 900 $\mu\textrm{g}$/ml of G418 were the most proper for selection of transfscted bEF and bESF cells. In this study, lipofectamine was used as a transfection reagent. Thus, the proper ratio of DNA:lipofectamine for transfection was also required to elevate targeting efficiency in primary mammalian cells. Our result indicates that the most proper ratios of DNA:lipofectamine were 4:2 and 1:2 in bEF and bESF cells. According to the optimized these conditions, single colonies were picked following transfection and were analyzed by PCR. More than 90% of the single colonies have TPO gene. However, there were no colonies with targeted TPO at the specific genomic region. Therefore, further experiments to select the specifically targeted colonies and to find more efficient methods such as reducing selection time and shortening a size of TPO gene are required.

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