• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.992-999
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• 2014

This paper presents an extensive experimental comparison of a variety of multi-label learning methods for the accurate prediction of subcellular localization of proteins which simultaneously exist at multiple subcellular locations. We compared several methods from three categories of multi-label classification algorithms: algorithm adaptation, problem transformation, and meta learning. Experimental results are analyzed using 12 multi-label evaluation measures to assess the behavior of the methods from a variety of view-points. We also use a new summarization measure to find the best performing method. Experimental results show that the best performing methods are power-set method pruning a infrequently occurring subsets of labels and classifier chains modeling relevant labels with an additional feature. futhermore, ensembles of many classifiers of these methods enhance the performance further. The recommendation from this study is that the correlation of subcellular locations is an effective clue for classification, this is because the subcellular locations of proteins performing certain biological function are not independent but correlated.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2003.06a
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• pp.222-225
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• 2003

다중 사용자 검출은 CDMA 시스템에서 가장 큰 문제인 원관 문제를 해결해 주는 하나의 방법이다. 동기식 다중 사용자 검출기는 크게 선형과 비선형으로 나누어지며, 선형 검출기에는 역상관기, MMSE 검출기, LMS 검출기, RLS 검출기가 있다. 비선형 검출기에는 SIC, PIC, DFD등이 있으며, 본 논문에서는 동기식 선형 및 비선형 다중 사용자 검출기와 비동기식 다중 사용자 검출기의 특성과 성능을 비교 평가하고, 학습 계열이 필요 없는 블라인드 다중 사용자 검출기를 위의 검출기 성능과 비교 평가함으로서 학습 계열을 이용할 수 없는 상황에서 같은 성능으로 블라인드 다중 사용자 검출기를 사용 할 수 있음을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.94-96
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• 2003

맡은 사용자 영역의 프로그램들이 확장성과 성능 향상을 목적으로 다중 프로세스 모델에서 다중 스레드 모델로 바뀌고 있다. 웹 서버도 폭발적으로 증가하는 사용자 요청을 수용할 수 있도록 확장성과 성능 향상을 위해서 다중 스레드 모델을 적용하였다. 본 논문에서는 다중 프로세스 모델을 적용한 웹 서버와 다중 프로세스/다중 스레드 모델을 적용한 웹 서버에 대한 성능을 여러 운영체제 환경에서 평가하였다. 실험 결과 전체적으로 다중 프로세스 모델이 다중 스레드 모델보다 더 좋은 성능과 안정성을 보였다.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.447-460
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• 2006

This paper develops a multiple comparison method for finding an optimal ordering of K geometric means of exponential parameters. This is based on the paired comparison experimental arrangement whose results can naturally be represented by a completely oriented graph. Introducing posterior preference probabilities and stochastic transitivity conditions to the graph, we obtain a new graphical model that yields criteria for the optimal ordering in the multiple comparison. Necessary theories involved in the method and some computational aspects are provided. Some numerical examples are given to illustrate the efficiency of the suggested method.

• The Korean Journal of Applied Statistics
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• v.31 no.5
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• pp.599-610
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• 2018

The method of Mack and Skillings (Technometrics, 23, 171-177, 1981) is a nonparametric multiple comparison method in a randomized block design with replications. This method is likely to result in loss of information because each block is ranked using the average of observations instead of repeated observations. In this paper, we proposed a new nonparametric multiple comparison method in the randomized block model with replications using an alignment method proposed by Hodges and Lehmann (The Annals of Mathematical Statistics, 33, 482-497, 1962) that extend the joint placement method proposed by Chung and Kim (Communications for Statistical Applications and Methods, 14, 551-560, 2007). In addition, Monte Carlo simulation compared the family wise error rate and power with the parametric method and the nonparametric method.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.1027-1036
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• 2017

Multiple comparisons are required to confirm whether or not something is significant if the null hypothesis to test whether the difference between more than three treatments is rejected in a one-way layout. There are both parametric multiple comparison method Tukey (1953) and Nonparametric multiple comparison method based on Kruskal-Wallis (1952).This procedure is applied to a mixed sample of all data and then an average ranking is used for each of three or more treatments. In this paper, a new nonparametric multiple comparison procedure based on joint placements for a one-way layout as extension of the joint placements described in Chung and Kim (2007) was proposed. Monte Carlo simulation is also adapted to compare the family wise error rate (FWE) and the power of the proposed method with previous methods.

• Journal of the Korean Chemical Society
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• v.56 no.6
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• pp.759-767
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• 2012

The purpose of this study was to examine the impact of Science Writing Heuristic (SWH) on multiple representations in students' writing and to survey experimental group students' recognition about the use of multiple representations. For this study, Participants of this study were 158 students in 7th grade. 94 students were assigned to the experimental group and 64 students were assigned to the comparative group. The experimental group showed significantly higher mean score than comparative group at utilizing multiple representation in summary writing. Interview analysis indicated that all students who participated in interviews, regardless of solid multi-modal competency, recognized that use of multiple representations with appropriate explanations enable to communicate science information persuasively.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.23-23
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• 2018

본 연구에서는 다중분위회귀분석모형(Multiple Quantile Regression Model, MQRM)과 MODIS(MODerate resolution Imaging Spectroradiometer) LST (Land Surface Temperature) 자료를 이용하여 전국 공간토양수분을 산정하였다. 공간토양수분을 산정하기 위한 과정은 크게 두가지로 구분된다. 첫 번째로 기존의 MODIS LST 자료를 조건부 합성 보정기법을 적용하여 실측 LST 자료와 비교하여 위성 LST 자료가 갖고 있는 오차를 보정하였다. 그 결과, 조건부 합성 보정기법을 적용하기전 전국 71개 지상관측지점에서 관측한 실측 LST와 MODIS LST의 $R^2$는 전체 평균 0.70으로 어는정도 유의성 있는 상관관계를 나타냈으나 조건부 합성 보정기법을 적용한 후 실측 LST와 MODIS LST의 $R^2$는 전체 평균 0.92로 상당히 크게 향상됨을 알 수 있었다. 두 번째로 보정된 MODIS LST를 이용하여 다중분위회귀분석 모형을 개발하고 토양수분을 예측하는 단계로 입력자료로 위성영상 자료와 관측자료를 융합하여 사용하였다. 위성영상 자료로는 보정된 MODIS LST와 MODIS NDV를 구축하였고 일단위 강수량 및 일조시간의 기상자료는 기상청으로부터 전국 71개 지점에 대해 구축하여 IDW 공간보간기법을 이용한 공간자료로 구축하였다. 토양수분 결과를 비교하기 위한 관측 토양수분은 자동농업기상관측(Automated Agriculture Observing System, AAOS)지점에서 2013년 1월부터 2015년 12월까지의 실측 일단위 토양수분 자료를 구축하여 사용하였다. 다중분위회귀분석 모형은 LST 인자를 중심으로 각각의 분위(0.05, 0.25, 0.5, 0.75, 0.95)에 해당되는 값의 회귀식을 NDVI, 강수 입력자료를 독립인자로서 조합하여 계절 및 토성에 따른 총 80개의 회귀식을 산정하였다. 관측 토양수분과 모의 토양수분을 비교한 결과 $R^2$가 0.70 (철원), 0.90 (춘천), 0.85 (수원), 0.65 (서산), 0.78 (청주), 0.82 (전주), 0.62 (순천), 0.63 (진주), 0.78 (보성)로 높은 상관성을 보였다. 본 연구에서는 다중분위회귀 모형의 성능을 검증하기 위해 기존의 다중선형회귀모형의 결과와 비교하여 크게 개선됨을 나타냈다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.5
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• pp.877-883
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• 2001

In this paper, we propose a new Genetic Algorithm(GA)-based Multiuser Detector(MUD), and its performance is evaluated by computer simulation compared to both the optimum MUD and the Hopfield neural network(NN) -based MUD when the near-far problem exists. From the results of comprehensive simulation, it is shown that the proposed MUD in this paper can guarantee a close BER performance compared to both the optimum MUD and the Hopfield NN MUD with a considerable reduced complexity under the near-far condition. Furthermore, a more performance improvement than the Hopfield W MUD can be expected when the near-far problem does not exist.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.9A
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• pp.1058-1066
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• 2004

This paper proposes the acquisition system using the multiple antennas in DS-CDMA system. The conventional acquisition schemes using multiple antennas are the methods to utilize the multi-antenna combining and the fixed multi-beam forming of a serial acquisition. Then, this paper proposes the hybrid acquisition scheme using the fixed multi-beam forming. The numerical results show the performance comparison of two acquisition schemes in terms of the acquisition time ill the multipath Rayleigh fading channel.