• 제어로봇시스템학회논문지
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• 제3권6호
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• pp.632-638
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• 1997

The growing number of electronic components used in automobiles has given rise to problems concerning the increasing number, size and weight of the wiring harnesses. As an approach to resolve these problems, multiplexed wiring systems using automotive communication protocol such as Controller Area Network(CAN), Advanced PALMNET and J1850 have been developed by many automobile companies. In order to compare these protocols quantitatively, this paper presents the performance evaluation of CAN and Advanced PALMNET via discrete event simulation. Through numerous simulation experiments, several important quantitative performance factors such as the probability of a transmission failure, average system delay(data latency), and throughput have been evaluated.

• 산업경영시스템학회지
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• 제34권2호
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• pp.30-34
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• 2011

Variable precision rough set models have been successfully applied to problems whose domains are discrete values. However, there are many situations where discrete data is not available. When it comes to the problems with interval values, no variable precision rough set model has been proposed. In this paper, we propose a variable precision rough set model for interval values in which classification errors are allowed in determining if two intervals are same. To build the model, we define equivalence class, upper approximation, lower approximation, and boundary region. Then, we check if each of 11 characteristics on approximation that works in Pawlak's rough set model is valid for the proposed model or not.

• 한국항만학회지
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• 제14권2호
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• pp.155-163
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• 2000

A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system, it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system is introduced to the present system. The changes are as follows : how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1999년도 추계학술대회논문집
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• pp.101-108
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• 1999

A discrete system has interpreted by using the network model, and PERT network is one of these methods. For the purpose of analysing the real system. it is necessary to measure the parameter of the real system. And system identification problem is to assume the parameter of a real system when we get to know the system model, the input data and output data. System identification method has been only developed to a system of which a structure has expressed a differential equation or a polynomial expression. But it has been scarcely developed yet in that case of network model. The aim of this paper is to examine a changes when new system isn introduced to the present system, The changes are as follows: how the present system will be changed, when the changes will be happened. In this paper, genetic algorithm is used to assume the parameter.

• Communications for Statistical Applications and Methods
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• 제17권2호
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• pp.153-164
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• 2010

본 논문에서는 이산형과 연속형 데이터가 혼합되어 있는 데이터 구조를 탐색하기 위하여 동적 기법을 사용하였다. 이산형 변수들간의 관계를 표현하는 선 모자이크 도표와 연속형 변수들의 관계를 위한 산점도, 일변량 변수 관점에서의 데이터의 분포를 파악할 수 있는 상자도표를 동시에 사용하면서, 동적인 기법들을 적용하여 다차원 데이터에 대한 구조를 좀 더 쉽게 파악할 수 있음을 보였다.

• Communications for Statistical Applications and Methods
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• 제11권2호
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• pp.255-264
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• 2004

Due to a computerized data processing, there are many cases when we encounter a huge data set. On the other hand, advances in computing technologies make it possible to deal with a huge data set. One important area is the data mining. In this paper we consider data mining when the dependent variable is binary. The proposed method is to use the poly-class model when the independent variables consists of continuous and discrete variables. An example is provided.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1405-1412
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• 2006

We shall derive the UMVUE of the tail probability in Poisson, Binomial, and negative Binomial distributions, and compare means squared errors of the UMVUE and the MLE of the tail probability in each case.

• 전자공학회논문지CI
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• 제39권3호
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• pp.53-61
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• 2002

본 논문에서는 고음질을 위한 디지털 오디오 워터마킹(watermarking) 알고리즘을 제안한다. 오늘날 디지털 저작물을 확인하는데 디지털 워터마크(digital watermark)가 쓰이고 있으며, 영상뿐만 아니라 디지털 오디오 분야도 연구가 활발하다. 특히, 디지털 오디오 분야에서의 워터마크 삽입은 워터마크의 강인성뿐만 아니라 워터마킹된 오디오 데이터 자체의 음질에 상당한 영향을 주게 된다. 오디오 워터마크는 일반적으로 FFT 변환 후 주파수 영역에 워터마크를 삽입하는데, 이때 워터마크 삽입 영향으로 오디오 데이터 음질에 영향을 미치게 된다. 따라서 오디오의 고음질을 유지하면서 강인한 워터마크를 삽입하는 연구가 큰 문제로 대두되었다. 논문에서는 심리음향 모델(Psychoacoustic model) 및 MDCT/IMDCT(Modified Discrete Cosine Transform/Inverse Modified Discrete Cosine Transform)를 사용한 고음질 오디오 워터마킹 알고리즘을 제안한다. 제안된 논문에서, 오디오 워터마킹 알고리즘을 위하여 44.1㎑, 128Kbps, 스테레오 오디오 파일을 이용하였다. 오디오 데이터가 MDCT를 통해 주파수 변환하는 과정에서 256, 1024, 2048 포인트 간격으로 워터마크를 삽입할 수 있다. 50㎳의 RMS 윈도우를 사용했을 때 원 오디오 데이터와 워터마킹 된 오디오 데이터의 전체 RMS 파워의 차이는 0.8㏈이다.

• 대한토목학회논문집
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• 제14권4호
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• pp.859-866
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• 1994

대부분의 중소규모 하천 유역에서는 수위 또는 유량 등의 실측자료가 빈약한 상태이기 때문에 홍수시의 유출량을 정확히 추정하고, 홍수피해를 경감시키기 위한 적절한 대책을 세우기가 매우 어려운 실정이다. 본 연구에서는 부산지방에 위치한 온천천 유역을 대상으로 하여 중소 하천 유역에 대한 선형 이산화 입력-출력 모형의 매개변수를 추정하고자 하였으며, 1993년 6월부터 실측한 유출량 자료와 저류함수법에 의해 산정한 유효강우량을 사용하여 선형 이산화 입력-출력 모형의 매개변수를 최소자승법과 상관함수법에 의해 추정하였다. 선형 이산화 입력-출력 모형에 의한 유출 수문곡선은 실측 수문곡선을 잘 재현한 것으로 나타났다. 또한 추정된 매개변수와 강우자료만을 사용하여 모의발생시킨 수문곡선 역시 실측 수문곡선과 잘 일치함을 알 수 있었다.

• Journal of Ship and Ocean Technology
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• 제10권2호
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• pp.24-36
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• 2006

Ship hullform is usually designed with a curve network, and smooth hullform surfaces are supposed to be generated by filling in (or interpolating) the curve network with appropriate surface patches. Tensor-product surfaces such as B-spline and $B\'{e}zier$ patches are typical representations to this interpolating problem. However, they have difficulties in representing the surfaces of irregular topological type which are frequently appeared in the fore- and after-body of ship hullform curve network. In this paper, we proposed a method that can automatically generate discrete $G^1$ continuous B-spline surfaces interpolating given curve network of ship hullform. This method consists of three steps. In the first step, given curve network is reorganized to be of two types: boundary curves and reference curves of surface patches. Especially, the boundary curves are specified for their surface patches to be rectangular or triangular topological type that can be represented with tensor-product (or degenerate) B-spline surface patches. In the second step, surface fitting points and cross boundary derivatives are estimated by constructing virtual iso-parametric curves at discrete parameters. In the last step, discrete $G^1$ continuous B-spline surfaces are generated by surface fitting algorithm. Finally, several examples of resulting smooth hullform surfaces generated from the curve network data of actual ship hullform are included to demonstrate the quality of the proposed method.