• 한국터널지하공간학회 논문집
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• 제14권6호
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• pp.683-697
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• 2012

본 논문에서는 쉴드 TBM 터널에서 적용 가능한 리스크 분석 방법을 연구하였다. FTA 방법을 통해 리스크 아이템과 각각의 발생확률을 확인하고 AHP 방법을 통해 각각의 리스크 아이템의 영향도를 구하였다. 마지막으로 각각의 리스크 아이템의 리스크 레벨을 평가할 수 있었다. 개발된 방법을 EPB 쉴드 터널이 사용된 서울 지하철 현장에 적용하여 리스크 분석 결과가 현장 데이터에 부합하는 합리적 결과임을 검증하였다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2018년도 제58차 하계학술대회논문집 26권2호
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• pp.85-86
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• 2018

최근 들어 가챠 시스템이 없는 게임을 찾기 어려울 만큼 많은 게임들이 가챠 시스템을 사용하고 있다. 그중에서도 가챠 시스템이 메인 콘텐츠라고 할 수 있을 만큼 큰 비중을 차지하고 있는 게임이 있고, 반대로 메인 콘텐츠가 따로 있어 부가적인 요소로 사용하는 게임이 있다. 본 연구에서는 현재 게임에서 사용되고 있는 가챠 시스템의 현황과 규제 및 개발사의 대안에 대해 알아보고, 이로 인해 생기는 문제점을 분석한다.

• 한국경영과학회지
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• 제22권4호
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• pp.93-113
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• 1997

In studying an EOQ-like inventory model for a manufacturing process, a number of findings were made. The system can "go out of control" resulting in a relatively minor problem state or "break-down". When the production system is in the minor problem statei produces a number of defective items. It is assumed that each defective piece requires rework cost and related operations. Once the machine breakdown takes place, the production system produces severely defective items that are completely unusable. Each completely unusuable item is immediately discarded and incurs handling cost, scrapped raw material cost and related operations. Two investment options in improving the production process are introduced : (1) reducing the probability of machine breakdown, breakdowns, and (2) simultaneously reducing the probability of machine breakdowns and setup costs. By assuming specific forms of investment cost function, the optimal investment policies are obtained explicitly. Finally, to better understand the model in this paper, the sensitivity of these solutions to changes in parameter values and numerical examples are provided.amples are provided.

• 반도체디스플레이기술학회지
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• 제9권4호
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• pp.45-50
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• 2010

This paper explores a new approach for modeling of decision-making problems that involve uncertain, time-dependent and sequence-dependent processes which can be applied to semiconductor industry. In the proposed approach, which is based on probability theory, approximate sample paths are required to be specified by probability and statistic characteristics. Completely specified sample paths are seen to be elementary and fundamental outcomes of the related experiment. The proposed approach is suitable for modeling real processes more accurately. A case study is applied to a single item production planning problem with continuous and uncertain demand and the solution obtained by the approximate path specification method shows less computational efforts and practically desirable features. The application possibility and general plan of the proposed approach in semiconductor manufacturing process is also described in the paper.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.531-533
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• 2020

게임 시장에서는 다양한 형태로 확률형 아이템을 판매하고 있다. 그 중 확률형 아이템은 게임사의 주요 수입원이다. 그러나 유저들에게는 확률형 아이템의 랜덤성 때문에 게임을 즐기는 데 있어서 스트레스를 받고 정확하지 않은 과금액과 사행성이 담겨 있는 판매 방식으로 인해 혹평을 내놓는다. 본 논문에서는 설문을 기반으로 유저가 확률형 아이템의 어느 부분에 불만이 있는지 구체적으로 제시하여 기업이 유저들의 불만을 파악하고 줄이는데 도움을 주고자 한다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.209-211
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• 2022

국내 게임 시장 규모는 2021년 21조원을 넘으며 시장이 빠르게 성장하고 있다. 이러한 매출 규모에 큰 비중을 차지하는 상품은 확률형 가챠 아이템이 매출에 많은 부분을 담당하고 있다. 본 논문에서는 현재 게임 산업에서 사용되는 가챠 시스템에 대한 문제점을 소개하고 한계선이 없는 가챠 시스템에 대한 내용을 제시하면서, 최근 업계에서 한계선이 없는 가챠에 대한 대처법으로 출시하고 있는 천장 시스템에 대하여 소개와 천장 시스템의 성공 사례 및 앞으로 천장 시스템이 어떤 방향으로 개선 되야하는지에 대한 내용을 제시한다.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2000년도 추계학술발표회 논문집
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• pp.241-246
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• 2000

A simple random sample is taken from a population and a particular survey item is subject to nonresponse that corresponds to random subsampling of the sampled values within adjustment cells. Our object is to estimate Bayesian probability interval of the population mean.

• 산업경영시스템학회지
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• 제14권24호
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• pp.1-5
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• 1991

Various linear cost models have been proposed that can be used to determine a sampling plan by attributes. This paper is concerned with this sampling cost model when the probability that the number of nonconforming item is smaller than the break-even quality level is known. In addition to this situation, a constraint by AOQL is considered. Under these conditions, optimal sampling plan which minimize the average cost per lot is suggested.

• 말소리와 음성과학
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• 제5권1호
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• pp.91-98
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• 2013

This paper investigated Korean prosody as it relates to graded internal structure in an identification function. Within Korean prosody, variants regarded as dialectal variations can appear as different prosodic scales, which contain the range of within-category variations. The current experiment was intended to show how the prosodic scale corresponding to the range of within-category differences relates to f0 contours for speakers of two Korean dialects, North Kyungsang and South Cholla. In an identification task, participants responded by selecting an item from two answer choices. The probability of choosing the correct response from the two choices was computed by a logistic regression analysis using intercepts and slopes. That is, the correct response between two choices was used to show a linear line with an s-shape presentation. In this paper, to investigate the graded internal structure of labeling, 25%, 50%, and 75% of predicted probability were assessed. Listeners from North Kyungsang showed progressive variations, whereas listeners from South Cholla revealed random patterns in the internal structure of the identification function. In this paper, the results were plotted using scatterplot graphs, applying the range of within-category variation and predicted probability obtained from the logistic regression analyses. The scatterplot graphs showed the different degree of the responses for f0 scales (i.e., variations within categories). The results demonstrate that the gradient structures of native pitch accent users become more progressive in response to f0 scales.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2082-2102
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• 2018

In recent years, social network related applications such as WeChat, Facebook, Twitter and so on, have attracted hundreds of millions of people to share their experience, plan or organize, and attend social events with friends. In these operations, plenty of valuable information is accumulated, which makes an innovative approach to explore users' preference and overcome challenges in traditional recommender systems. Based on the study of the existing social network recommendation methods, we find there is an abundant information that can be incorporated into probability matrix factorization (PMF) model to handle challenges such as data sparsity in many recommender systems. Therefore, the research put forward a unified social network recommendation framework that combine tags, trust between users, ratings with PMF. The uniformed method is based on three existing recommendation models (SoRecUser, SoRecItem and SoRec), and the complexity analysis indicates that our approach has good effectiveness and can be applied to large-scale datasets. Furthermore, experimental results on publicly available Last.fm dataset show that our method outperforms the existing state-of-art social network recommendation approaches, measured by MAE and MRSE in different data sparse conditions.