• 한국안전학회지
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• 제35권1호
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• pp.107-115
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• 2020

This paper introduces the first vital area identification (VAI) process for the physical protection of nuclear power plants (NPPs) during low power and shutdown (LPSD) operation. This LPSD VAI is based on the 3rd generation VAI method which very efficiently utilizes probabilistic safety assessment (PSA) event trees (ETs). This LPSD VAI process was implemented to the virtual NPP during LPSD operation in this study. Korea Atomic Energy Research Institute (KAERI) had developed the 2nd generation full power VAI method that utilizes whole internal and external (fire and flooding) PSA results of NPPs during full power operation. In order to minimize the huge burden of the 2nd generation full power VAI method, the 3rd generation full power VAI method was developed, which utilizes ETs and minimal PSA fault trees instead of using the whole PSA fault tree. In the 3rd generation full power VAI method, (1) PSA ETs are analyzed, (2) minimal mitigation systems for avoiding core damage are selected from ETs by calculating system-level target sets and prevention sets, (3) relatively small sabotage fault tree that has the systems in the shortest system-level prevention set is composed, (4) room-level target sets and prevention sets are calculated from this small sabotage fault tree, and (5) the rooms in the shortest prevention set are defined as vital areas that should be protected. Currently, the 3rd generation full power VAI method is being employed for the VAI of Korean NPPs. This study is the first development and application of the 3rd generation VAI method to the LPSD VAI of NPP. For the LPSD VAI, (1) many LPSD ETs are classified into a few representative LPSD ETs based on the functional similarity of accident scenarios, (2) a few representative LPSD ETs are simplified with some VAI rules, and then (3) the 3rd generation VAI is performed as mentioned in the previous paragraph. It is well known that the shortest room-level prevention sets that are calculated by the 2nd and 3rd generation VAI methods are identical.

• Nuclear Engineering and Technology
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• 제53권8호
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• pp.2534-2546
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• 2021

Nuclear emergency preparedness and response is an essential part to ensure the safety of nuclear power plant (NPP). Key support technologies of nuclear emergency decision-making usually consist of accident diagnosis, source term estimation, accident consequence assessment, and protective action recommendation. Source term estimation is almost the most difficult part among them. For example, bad communication, incomplete information, as well as complicated accident scenario make it hard to determine the reactor status and estimate the source term timely in the Fukushima accident. Subsequently, it leads to the hard decision on how to take appropriate emergency response actions. Hence, this paper aims to develop a method for rapid source term estimation to support nuclear emergency decision making in pressurized water reactor NPP. The method aims to make our knowledge on NPP provide better support nuclear emergency. Firstly, this paper studies how to build a Bayesian network model for the NPP based on professional knowledge and engineering knowledge. This paper presents a method transforming the PRA model (event trees and fault trees) into a corresponding Bayesian network model. To solve the problem that some physical phenomena which are modeled as pivotal events in level 2 PRA, cannot find sensors associated directly with their occurrence, a weighted assignment approach based on expert assessment is proposed in this paper. Secondly, the monitoring data of NPP are provided to the Bayesian network model, the real-time status of pivotal events and initiating events can be determined based on the junction tree algorithm. Thirdly, since PRA knowledge can link the accident sequences to the possible release categories, the proposed method is capable to find the most likely release category for the candidate accidents scenarios, namely the source term. The probabilities of possible accident sequences and the source term are calculated. Finally, the prototype software is checked against several sets of accident scenario data which are generated by the simulator of AP1000-NPP, including large loss of coolant accident, loss of main feedwater, main steam line break, and steam generator tube rupture. The results show that the proposed method for rapid source term estimation under nuclear emergency decision making is promising.

• 한국지형학회지
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• 제19권1호
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• pp.17-27
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• 2012

해안사구는 사빈과의 상호작용을 통하여 해안경관을 안정시키고 배후지를 방어한다. 때때로 태풍이 통과할 때 사구가 침식되기도 하지만, 시간이 지나면 원래의 지형을 회복한다. 2010년 9월초에 발생한 태풍 곤파스는 많은 비를 동반하며 폭풍과 파고를 증가시켜 해안지역에 수위를 상승시켰다. 이로 인해, 서해안에 분포하는 사구들이 피해를 입었다. 하지만 침식이나 회복과정은 전안과 사구전면부의 경사, 모래의 공급량, 식생, 바람, 인간의 간섭 등 해빈-사구를 둘러싼 환경에 따라 차이가 있었다. 어떤 사구들은 겨울철 풍성활동에 의해 원래의 단면을 회복했지만, 어떤 사구들은 점점 더 육지 쪽으로 후퇴하였다. 곰솔림이 조성된 해안사구는 초본피복사구에 비해 회복이 더딘 것으로 나타났다. 또한 인공호안이 설치된 사구는 그렇지 않은 사구에 비해 더 심하게 침식되고 덜 회복되었다. 태풍 통과 이후의 조사결과, 모래의 이동과정이 침식된 사구 지형회복에 가장 중요한 역할을 한 것으로 나타났다. 따라서 태풍에 의한 침식극복을 비롯하여, 사구의 효과적인 관리를 위해서는 지형학적 관점에서 사빈과 사구의 상호작용을 적절하게 평가해야 한다.

• 한국환경복원기술학회지
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• 제10권4호
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• pp.21-30
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• 2007

This study aims to understand the characteristics of dangsan forests and rural community forests (RCF), and seek for a landscape management scheme. Dangsan forests and RCF have been maintained by local residents since hundreds of years ago. However, many of them have been disturbed. The case sites were derived from the twenty villages previous investigated where dangsan forests and RCF's remainrd. The two sites were remodelled to restore what have been degraded. Hanbam village has maintained its dangsan forest with good management practices, whereas the dangsan forest and RCF of Goiran village showed relatively poor management. The size of dangsan forest at hanbam village was 13,784$m^2$, and major tree species was Pinus densiflora. In total, 151 trees with more than 30cm in DBH were standing on the site. As a cultural activity, the dangsan festival have been held in January $5^{th}$ by lunar calendar to the 2005 at the Jindongdan, a dangsan tree made of stone. The RCF of Hanbam village has disappeared due to the event of landslide in 1930, which needs to be restored. Goiran village has a dangsan forest and a RCF. The forests in Goiran village revealed many problems due to bad management practice. The prototype of the dangsan forest was deteriorated by introduced Prunus serrulata and the facilities for physical training. A systematic management scheme for dangsan forests and RCF's should be established with a close partnership among local residents, experts, and local government.

• 한국방재학회 논문집
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• 제10권3호
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• pp.147-154
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• 2010

본 연구에서는 강우에 기인하는 산사태에 의한 토사발생특성을 분석하였다. 이를 위해 1차원 불포화 지하수해석을 수행하여 강우에 따른 토양수분의 거동을 추정하였으며, 무한사면해석법을 이용하여 토양수분상태에 따른 유역단위 사면안정해석을 수행하였다. 이 때, 산사태의 발생 및 파괴깊이에 영향을 주는 토양심 및 여러 식생인자들을 고려하였다. 강우사상의 특성에 따른 토사발생특성 분석 결과, 산사태에 의한 토사의 발생에는 강우강도와 강우의 시간적 군집상태가 결정적인 영향을 미친다는 것을 알 수 있었다. 극치강우에 의한 유역 내 토사발생특성 분석결과, 태풍 '루사' 시의 잔여강우량이 다른 극치사상들에 비하여 매우 크게 나타났으며, 이러한 잔여강우량이 발생된 토사의 운송에 기여하였을 것으로 파악되었다. 아울러, 소수의 극치강우에 의하여 발생한 토사량이 유역 내 전체 토사발생량의 많은 부분을 차지함을 알 수 있었다.

• 산업경영시스템학회지
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• 제42권4호
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• pp.183-193
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• 2019

Process mining is an analytical technique aimed at obtaining useful information about a process by extracting a process model from events log. However, most existing process models are deterministic because they do not include stochastic elements such as the occurrence probabilities or execution times of activities. Therefore, available information is limited, resulting in the limitations on analyzing and understanding the process. Furthermore, it is also important to develop an efficient methodology to discover the process model. Although genetic process mining algorithm is one of the methods that can handle data with noises, it has a limitation of large computation time when it is applied to data with large capacity. To resolve these issues, in this paper, we define a stochastic process tree and propose a tabu search-genetic process mining (TS-GPM) algorithm for a stochastic process tree. Specifically, we define a two-dimensional array as a chromosome to represent a stochastic process tree, fitness function, a procedure for generating stochastic process tree and a model trace as a string of activities generated from the process tree. Furthermore, by storing and comparing model traces with low fitness values in the tabu list, we can prevent duplicated searches for process trees with low fitness value being performed. In order to verify the performance of the proposed algorithm, we performed a numerical experiment by using two kinds of event log data used in the previous research. The results showed that the suggested TS-GPM algorithm outperformed the GPM algorithm in terms of fitness and computation time.

• Tuberculosis and Respiratory Diseases
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• 제43권2호
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• pp.251-256
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• 1996

Kartagener 증후군은 역위, 부비동염 및 기관지 확장증을 보이는 질환으로 일종의 섬모운동장애증후군으로 여겨지고 있다. 저자들은 어렸을 때부터 호흡기 감염이 빈번한 젊은 여성에서 호흡부전과 우심부전을 동반한 Kartagener 증후군 1예를 경험하였기에 이에 문헌고찰과 함께 보고하는 바이다.

• 한국조경학회지
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• 제29권1호
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• pp.41-50
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• 2001

The seoul Metropolitan Government has announced a program of the realization of a Korean garden named 'Seoul Park' in Paris 'Jardin d'Acclimatation' in June, 2000. The program for 'Seoul Park' in Paris has double objectives which aims celebrating the 10th anniversary of the establishment of sisterhood relationship between Seoul and paris and to promote the mutual cooperation and the amity between the two metropolitan cities. The purpose of this study is focusing on the issues on the setting procedure of characteristics of the 'Seoul Park', type of the Park, and design realization of expression of Korean identity, and the cultural consolidation between parks in Korean and French. The Seoul Park will be constructed on the shore of a lake of the Jardin d'Acclimatation, and the size of the area is 4,675㎡. In July, a design competition for the preparation of a schematic plan of the Seoul Park was held in Seoul. In this competition, the author won with a scheme which proposed a Korean Garden as expression of "between" two cultures which is fitted into the French environment. Although, the Seoul Park in Paris is a small Korean garden, its significance would be emphasized in terms of that it represents the adaptation of a Korean culture to the French territory. Throughout the winning entry, we could recognized hat the author defines Korean garden as 'time device', and 'Seoul Park' as 'Situation' which is the consolidation of the cultures between korea and France. And also the author pursued Korean garden as a net type of 'sequence of the event'. In this paper, we have discussed the concept and the schematic plan of the winning entry. focusing on following issues: Definition of the garden; Form of the garden; Expression of Korean garden; Representation of the reconciliation between two environments. Since many parts of the garden are under designing, and the discussion on the resetting of the existing trees in the garden is in progress, more specific investigation will be done in the next thesis.

• 산업경영시스템학회지
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• 제41권4호
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• pp.189-195
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• 2018

With the advent of the digital age, production and distribution of web pages has been exploding. Internet users frequently need to extract specific information they want from these vast web pages. However, it takes lots of time and effort for users to find a specific information in many web pages. While search engines that are commonly used provide users with web pages containing the information they are looking for on the Internet, additional time and efforts are required to find the specific information among extensive search results. Therefore, it is necessary to develop algorithms that can automatically extract specific information in web pages. Every year, thousands of international conference are held all over the world. Each international conference has a website and provides general information for the conference such as the date of the event, the venue, greeting, the abstract submission deadline for a paper, the date of the registration, etc. It is not easy for researchers to catch the abstract submission deadline quickly because it is displayed in various formats from conference to conference and frequently updated. This study focuses on the issue of extracting abstract submission deadlines from International conference websites. In this study, we use three machine learning models such as SVM, decision trees, and artificial neural network to develop algorithms to extract an abstract submission deadline in an international conference website. Performances of the suggested algorithms are evaluated using 2,200 conference websites.

• 한국융합학회논문지
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• 제12권8호
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• pp.39-45
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• 2021

본 논문은 손실값을 포함하는 불완전한 데이터를 처리하는 방법에 대해 논한다. 손실값을 최적으로 처리한다는 것은 학습 데이터가 가지고 있는 정보들에서 본래값과 가장 근사한 추정치를 구하고, 이 값으로 손실값을 대치하는 것이다. 이것을 실현하기 위한 방안으로 분류기가 정보를 분류하는 과정에서 완성되어가는 결정트리를 이용한다. 다시말해 이 결정트리는 전체 학습 데이터 중에서 손실값을 포함하지 않는 완전한 정보만을 C4.5 분류기에 입력하여 학습하는 과정에서 얻어진다. 이 결정트리의 노드들은 분류 변수의 정보를 가지는데, 루트에 가까운 상위 노드일수록 많은 정보를 포함하게 되고 말단 노드에서는 루트로부터의 경로를 통해 분류 영역을 형성하게 된다. 또한 각 영역에는 분류된 데이터 사건들의 평균이 기록된다. 손실값을 포함하는 사건들은 이러한 결정트리에 입력되어 각 노드의 정보에 따라 순회과정을 통해 사건과 가장 근접한 영역을 찾아가게 된다. 이 영역에 기록된 평균값을 손실값의 추정치로 간주하고, 보상 과정은 완성된다.