• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1993년도 춘계공동학술대회 발표논문 및 초록집; 계명대학교, 대구; 30 Apr.-1 May 1993
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• pp.49-56
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• 1993

We consider a B/G/1 queueing system with vacations, where the server closes the gate when it begins a vacation. In this system, customers arrive according to a Bernoulli process. The service time and the vacation time follow discrete distributions. We obtain the distribution of the number of customers at a random point in time, and in turn, the distribution of the residence time (queueing time + service time) for a customer. This system finds an application in the performance evaluation of the DQDB protocol which has been adopted as the standard protocol for IEEE 802.6 MAN.

• Animal Bioscience
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• 제37권5호
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• pp.839-851
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• 2024

Objective: The main goal of our current study was to improve the growth curve of meat animals by decreasing the birth weight while achieving a finishing weight that is the same as that before selection but at younger age. Methods: Random regression model was developed to derive various selection indices to achieve desired gains in body weight at target time points throughout the fattening process. We considered absolute and proportional gains at specific ages (in weeks) and for various stages (i.e., early, middle, late) during the fattening process. Results: The point gain index was particularly easy to use because breeders can assign a specific age (in weeks) as a time point and model either the actual weight gain desired or a scaled percentage gain in body weight. Conclusion: The point gain index we developed can achieve the desired weight gain at any given postnatal week of the growing process and is an easy-to-use and practical option for improving the growth curve.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1635-1656
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• 2023

In Bayesian multi-target tracking, the Poisson multi-Bernoulli mixture (PMBM) filter is a state-of-the-art filter based on the methodology of random finite set which is a conjugate prior composed of Poisson point process (PPP) and multi-Bernoulli mixture (MBM). In order to improve the random finite set-based filter utilized in multi-target tracking of sensor scanning, this paper introduces the Poisson multi-Bernoulli mixture filter into time-matching Bayesian filtering framework and derive a tractable and principled method, namely: the time-matching Poisson multi-Bernoulli mixture (TM-PMBM) filter. We also provide the Gaussian mixture implementation of the TM-PMBM filter for linear-Gaussian dynamic and measurement models. Subsequently, we compare the performance of the TM-PMBM filter with other RFS filters based on time-matching method with different birth models under directional continuous scanning and out-of-order discontinuous scanning. The results of simulation demonstrate that the proposed filter not only can effectively reduce the influence of sampling time diversity, but also improve the estimated accuracy of target state along with cardinality.

• 정보처리학회논문지C
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• 제18C권1호
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• pp.7-14
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• 2011

전력분석공격은 스마트카드와 같은 저전력 보안장치에 대한 매우 강력한 공격방법이나, 측정된 전력신호와 암호알고리듬 실행 시 추정되는 중간 값과의 상관도를 연산하는 시점이 시간적으로 일치되어야 가능하다. 보안장치에 랜덤클럭을 적용하면 측정된 전력신호 분석 시점이 서로 일치하지 않게 되므로 랜덤클럭이 전력분석 공격에 대한 방어대책으로 사용된다. 본 논문에서는 전력분석공격에서 랜덤클럭 전력신호에 대한 일정피치 기반의 시간적 정렬 방법을 제안한다. 제안방법은 랜덤클럭이 적용된 보안 장치로부터 측정된 전력신호를 일정한 크기를 갖는 기준피치에 맞추어 시간 축 상의 위치와 크기를 정렬하므로 랜덤 클럭 방어대책을 공격할 수 있는 새로운 방법이다. 마지막으로, 랜덤클럭이 적용된 스마트카드 환경에서 실행된 AES 블럭 암호화 알고리듬에 대하여 제안된 방법을 적용하여 그 공격 가능성을 검토한다.

• 대한기계학회논문집B
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• 제26권2호
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• pp.194-200
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• 2002

A method for simulating flow of extremely low Reynolds number in a vortex-in-cell (VIC) was studied. The viscous diffusion was represented by the random walk method. The validity of this method was proven by applying it to the flows passing over a fence placed vertically at an extremely low Reynolds number. The effects of parameters of the VIC method on the random walk method, such as the number of point vortices, the mesh density and the time increment, were investigated by numerical analysis using a one-dimensional diffusion equation. Changes in the relative error of vorticity depending on those parameters were clarified.

• 한국국방경영분석학회지
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• 제18권2호
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• pp.181-191
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• 1992

In this paper in order to prevent break of operation of equipments resulted from the delay of parts supply, the continuous review(Q, r) inventory model with probabilistic lead time is developed. If the lead tire is random varivable, the cycle also is stochastic. Then it is not easy to obtain the total cost equation of this inventory model. Therefore it is assumed that one cycle is the interval of reorder points. When the lead time is assumed to have exponential probability distribution, the lot-size and reorder point which minimize total cost are obtained. And as the lead time increases, the order quantity and the total cost are greater, but the reorder point increases by a certain point of time and then decreases.

• 대한교통학회지
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• 제20권5호
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• pp.67-79
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• 2002

교통량, 교통밀도, 교통류 속도 등, 교통류 변수에 대한 현재까지의 불확실한 정의와 연속적 파동방정식의 거시적 교통류 해석상의 문제점을 지적하고 이를 개선하기 위해 교통류 변수들에 대한 새로운 확률적 정의를 제시하고 이들의 성격을 규명하였다. 이러한 새로운 교통류 변수들에 대한 새로운 정의를 바탕으로 미시적 운전자 행동을 세밀하게 수용할 수 있고 많은 교통환경에서 연속적 파동 방정식을 대체하여 교통류 변수들과 통행시간을 예측할 수 있는 미분방정식 체계를 확률 미분방적식을 이용하여 도출하였다. 도출된 미분 방정식을 단일 차량의 시공 괘적에 적용해 보았다.

• 한국국방경영분석학회지
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• 제7권2호
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• pp.43-62
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• 1981

Computational expressions for point availability and average availability of a system of components each of which is subject to random failures and has random restoration times are determined. Each component is assumed to have a fixed number of spares such that where all spares are exhausted no restoration can take place. These expressions are useful in deciding PL and ASL in the military logistic applications. Given a fixed length of mission duration and finite number of spares, a system may not be available at the end of a mission due to lack of spares. The probability distribution of system down time due to lack of spares is determined as a function of number of spares and mission duration.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.963-972
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• 2007

When a control chart signals that a special cause is present, process engineers must initiate a search for and an identification of the special cause. Knowing the time of the process change could lead to identify the special cause more quickly, and to take the appropriate actions immediately to improve quality. In this paper, we propose the maximum likelihood estimator (MLE) for the process change point when a control chart is used in monitoring the parameters of a process in which the observations can be modeled as a first-order autoregressive(AR(1)) process plus an additional random error.

• 정보과학회 논문지
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• 제43권5호
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• pp.562-568
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• 2016

포인트 클라우드 데이터는 어떠한 형태를 표현하기 위해 무수히 많은 점들을 갖는 데이터 집합으로 특정 벡터 시스템에서 표현될 수 있으며, 일반적으로 3차원 좌표 공간에서 다양한 특성을 갖게 된다. 본 논문은 3차원 좌표 시스템의 포인트 클라우드에서 기존 방법(Hough Transform)보다 빠른 실린더 형태의 파이프 추정을 목표로 한다. 이를 위해 비교적 빠른 RANdom SAmple Consensus(RANSAC)를 사용한다. 본 논문에서 제안하는 실린더 형태의 파이프 추정은 두 가지 형태의 수학적 모델을 근거로 파라미터를 계산하고, 결과를 조합하여 예측한다. 두 가지 수학적 모델은 구(Sphere)와 직선(Line)이며, RANSAC 적합을 통해 실린더의 축과 반지름이 될 수 있는 구의 파라미터(중심과 반지름)를 계산하고, 이를 직선화하여 실린더를 추정한다. 이는 법선 추정(Normal Estimation) 및 분할(Segmentation) 없이 비교적 정확도를 유지하며, 빠르게 실린더 매칭을 할 수 있게 한다. 빠른 실린더 매칭은 실시간 파이프 추정이 필요한 레이저 스캐닝 및 건설 역설계 분야에서 활용할 수 있을 것이다.