• 대한수학회지
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• 제35권3호
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• pp.755-764
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• 1998

The least informative distributions minimizing Fisher information for location are obtained in the classes of continuously differentiable and piece-wise continuously differentiable densities with the additional restrictions on their values at the median and mode of population in the point and interval forms. The structure of these optimal solutions depends both on the assumptions of smoothness and form of characterizing restrictions of the class of distributions: in the class of continuously differentiable densities, the least informative distributions are finite and have the cosine-type form, and, in the class of piece-wise continuously differentiable densities, the least informative densities have exponential-type tails, the Laplace density in particular. The dependence of optimal solutions on the assumptions of symmetry is also analyzed.

• 호남수학학술지
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• 제25권1호
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• pp.95-115
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• 2003

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}(p{\geq}4)$ under the quadratic loss, based on a sample $X_1,\;{\cdots}X_n$. We find an optimal decision rule within the class of Lindley type decision rules which shrink the usual one toward the mean of observations when the underlying distribution is that of a variance mixture of normals and when the norm $||{\theta}-{\bar{\theta}}1||$ is known, where ${\bar{\theta}}=(1/p)\sum_{i=1}^p{\theta}_i$ and 1 is the column vector of ones. When the norm is restricted to a known interval, typically no optimal Lindley type rule exists but we characterize a minimal complete class within the class of Lindley type decision rules. We also characterize the subclass of Lindley type decision rules that dominate the sample mean.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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• pp.81-95
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• 2006

The usual arithmetic operations on real numbers can be extended to arithmetical operations on fuzzy intervals by means of Zadeh's extension principle based on a t-norm T. A t-norm is called consistent with respect to a class of fuzzy intervals for some arithmetic operation if this arithmetic operation is closed for this class. It is important to know which t-norms are consistent with a particular type of fuzzy intervals. Recently Dombi and Gyorbiro proved that addition is closed if the Dombi t-norm is used with two bell-shaped fuzzy intervals. A result proved by Mesiar on a strict t-norm based shape preserving additions of LR-fuzzy intervals with unbounded support is recalled. As applications, we define a broader class of bell-shaped fuzzy intervals. Then we study t-norms which are consistent with these particular types of fuzzy intervals. Dombi and Gyorbiro's results are special cases of the results described in this paper.

• 대한전자공학회논문지TC
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• 제48권3호
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• pp.19-27
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• 2011

광 네트워크 기술의 발달로 인해 오늘날 대부분의 네트워크는 수십 Gb/s를 지원한다. UDT(UDP-based Data Transfer protocol)는 대역폭과 지연시간이 큰 네트워크 환경에서 대용량 데이터 전송을 위한 프로토콜이다. 그러나 UDT는 고정된 sync-interval(0.01초) 간격으로 주기적인 rate control을 실행한다. 네트워크 트래픽 상태의 변화가 심한 환경에서는 sync-interval 동안 가용 대역폭을 충분히 활용하지 못하는 문제점이 발생한다. 본 논문은 sync-interval 구간에서 네트워크 트래픽 상태에 적응적인 rate control 기법을 제안한다. 네트워크 트래픽 상태는 RTT 변화를 바탕으로 판단한다. 제안 기법은 네트워크 상태를 4개의 구간으로 설정하여 패킷 sending period를 조절함으로써 rate control을 수행한다. 시뮬레이션 결과를 통하여 기존 UDT에 비해 throughput 과 안정성이 향상되었음을 보였다.

• 한국정보통신학회논문지
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• 제18권12호
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• pp.2839-2846
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• 2014

AIS VDL의 과부하 방지와 새로운 해상 데이터 교환 (VDE)을 위해 VHF 대역 채널이 WRC-12에서 할당되었고, ITU-R M. 1842-1을 통해 VDE 시스템의 기술 특성이 권고되었다. ITU-R M. 1842-1에서 다중 접속 방식으로 AIS class B용 CS-TDMA를 권고하고 있으나, 선박의 속도에 따른 전송주기의 적용은 고부하 데이터를 고속으로 전송하려는 VDES에 비효율적일 수 있다. 본 논문에서는 네트워크 트래픽에 직접 영향을 미치는 활성 선박국의 수에 따라 전송 주기를 결정하기 위해 모의시험을 수행하였다. 모의시험에서 수신 패킷의 수, 수신 성공률, 채널 이용률, 수신 충돌률 등의 다양한 성능을 분석하여, 활성 선박국의 수에 따라 전송 주기를 결정하는데 도움을 줄 수 있는 성능 지표를 제시한다.

• 한국통신학회논문지
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• 제31권1A호
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• pp.30-37
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• 2006

본 논문에서는 차세대 이동통신 수송망에서 트래픽 클래스별 서비스 품질 요구 사항을 고려한 효율적인 대역폭 재할당 기법을 제안한다. 제안 기법은 유선망 트래픽 클래스를 실시간 클래스와 비시실시간 클래스로 구분하여 무선망 계층에서 정의된 서비스 품질 클래스를 유선망 트래픽 클래스로 매핑시킨 후 실시간 트래픽 클래스가 비실시간 트래픽 클래스의 유휴 자원을 동적으로 사용하도록 한다. 제안 기법은 운영자가 지정한 패킷 손실율과 Auto-Regressive(AR) 시계열 모델을 이용하여 주기적으로 비실시간 트래픽 클래스의 향후 필요 대역폭을 예측하며 유휴 대역폭이 발생하는 경우에만 이를 실시간 트래픽 클래스에 동적으로 할당함으로써 비실시간 트래픽 클래스의 패킷 손실율을 보장함과 동시에 시스템의 대역폭 이용율을 향상시킨다. 본 논문에서는 실제 측정된 인터넷 트래픽을 비실시간 트래픽 클래스로 이용하여 제안 기법은 링크 대역폭의 효율을 증가시켜 실시간 트래픽의 수용량을 증가시킴과 동시에 모든 시 구간에서 비실시간 트래픽 클래스에 원하는 패킷 손실율을 보장할 수 있음을 검증하였다.

• 한국조리학회지
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• 제23권3호
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• pp.242-256
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• 2017

This study was conducted for the university students who majored in culinary arts. The effects of students' certifications on class and school life satisfaction and their effects on preparation employment were examined. The results showed that the students with the certifications had a high level of satisfaction in the class satisfaction, but they also had high stress in the school life. In other words, it seemed that the stress was increased in parallel with the school life in obtaining the certificate. In the case of qualification for preparation employment, the certification affects the preparation for employment even for the culinary arts majors. As for the number of certificates and passions, the change was found from 3 certifications, lower in 4, but again in 5. These results suggest that the certification initially increases enthusiasm, but when it reaches a certain level, it reaches its limit and it rises again after passing the interval. Also, students who graduated from cooking related high school showed high passion compared to those who did not.

• 전기학회논문지
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• 제63권4호
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• pp.502-508
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• 2014

In this paper, a delay-dependent $H_{\infty}$ filtering problem is investigated for discrete-time delayed nonlinear systems which include a more general sector nonlinear function instead of employing the commonly used Lipschitz-type function. By using the Lyapunov-Krasovskii functional approach, a less conservative sufficient condition is established for the existence of the desired filter, and then, the corresponding solvability condition guarantee the stability of the filter with a prescribed $H_{\infty}$ performance level. Finally, two simulation examples are given to show the effectiveness of the proposed filtering scheme.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권1호
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• pp.31-36
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• 2008

This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the enviromuent. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

• Journal of applied mathematics & informatics
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• 제29권5_6호
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• pp.1557-1569
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• 2011

In this paper, we consider the oscillation of the following certain second order nonlinear differential equations $(r(t)(x^{\prime}(t))^{\alpha})^{\prime}+q(t)x^{\beta}(t)=0$>, where ${\alpha}$ and ${\beta}$ are ratios of positive odd integers. New oscillation theorems are established, which are based on a class of new functions ${\Phi}={\Phi}(t,s,l)$ defined in the sequel. Also, we establish some interval oscillation criteria for this equation.