• 한국지진공학회논문집
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• 제13권2호
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• pp.47-58
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• 2009

본 연구에서는 변전소 시스템의 지진취약도 분석을 수행하여 변전소에 대한 지진취약도 함수를 제시하였다. 변전소는 여러 개의 설비와 구조물이 복합적으로 구성되어 있는 시스템이므로 각 설비에 대한 지진취약도 분석을 수행하여 이를 바탕으로 고장수목을 작성하여 변전소 전체의 파괴확률을 산정함으로써 변전소에 대한 지진취약도 평가를 수행하였다. 이를 위하여 국내 변전소의 현황을 파악하여 지진피해추정을 위한 변전소의 분류형식을 결정하였으며, 결정된 대표변전소 형식에 대한 평가대상 기기를 선정하였다. 대표 변전소 형식으로는 765kV, 345kV, 154kV 변전소의 GIS형 변전소로 결정하였다. 각 변전소의 취약도 검토대상 기기로는 변압기와 절연 애자를 선택하였다. 각 변전소의 변압기와 절연애자의 파괴모드와 파괴기준을 설정하여 지진취약도 곡선을 도출하였다. 최종적으로 변전소에 대한 고장수목을 이용하여 각 기기의 지진취약도 곡선으로부터 변전소 전체의 파괴확률을 산정하여 정의된 손상상태별 변전소의 지진취약도 함수를 산정하였다.

• Journal of Electrical Engineering and Technology
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• 제2권4호
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• pp.461-467
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• 2007

The paper describes a way to diagnose machine condition based on the expert system. In this paper, an expert system-decision tree is built and experimented to diagnose and to detect machine defects. The main objective of this study is to provide a simple way to monitor machine status by synthesizing the knowledge and experiences on the diagnostic case histories of the rotating machinery. A traditional decision tree has been constructed using vibration-based inputs. Some case studies are provided to illustrate the application and advantages of the decision tree system for machine fault diagnosis.

• Communications for Statistical Applications and Methods
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• 제19권2호
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• pp.293-301
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• 2012

Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제2권1호
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• pp.32-41
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• 2021

South Korea presently harbors less than 800 long-tailed gorals (Naemorhedus caudatus), an endangered species. I report for the first time on the taxonomic status and genetic diversity of the Korean species using non-invasive fecal sampling based on mitochondrial cytochrome b gene sequence analyses. To determine the taxonomic status of this species, I reconstructed a consensus neighbor-joining tree and generated a minimum spanning network combining haplotype sequences obtained from feces with a new goral-specific primer set developed using known sequences of the Korean goral and related species (e.g., Russian goral, Chinese goral, Himalayan goral, Japanese serow, etc.). I also examined the genetic diversity of this species. The Korean goral showed only three different haplotypes. The phylogenetic tree and parsimony haplotype network revealed a single cluster of Korean and Russian gorals, separate from related species. Generally, the Korean goral has a relatively low genetic diversity compared with that of other ungulate species (e.g., moose and red deer). I preliminarily showcased the application of non-invasive fecal sampling to the study of genetic characteristics, including the taxonomic status and genetic diversity of gorals, based on mitochondrial DNA. More phylogenetic studies are necessary to ensure the conservation of goral populations throughout South Korea.

• 한국융합학회논문지
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• 제6권2호
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• pp.25-30
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• 2015

이 연구는 신뢰성 있는 국가통계 데이터를 이용하여 지난 1년 간 금연 시도 경험 결정 요인 모형을 구축하고 개발된 모형을 근거로 금연 프로그램 참여 표적 집단 예측에 관한 기초 자료를 제공하였다. 분석대상은 2010년 서울시복지패널조사를 완료한 19세 이상 흡연자 1,326명이다. 결과변수는 지난 1년간 금연 시도 경험으로 정의하였고, 설명변수는 연령, 성, 최종학력, 현재 취업 상태, 가구 월 평균 총 소득, 배우자 유무, 음주 여부, 주관적 건강상태, 정기적인 운동 여부, 지난 한 달 간 우울증상 여부, 현재 순환기, 내분비계, 근골격계, 호흡기계, 이비인후 질환, 간질환, 비뇨기계질환 등 질병 여부로 설정하였다. 분석방법은 인공신경망 분석과 결정트리모형을 이용하였다. CART 알고리즘을 이용한 금연 프로그램 참여 모형을 구축한 결과, 유의미한 요인은 질병 여부, 주관적 건강 상태, 가구 월 평균 총소득이었다. 이 결과를 기초로 금연 프로그램의 성공적인 시행을 위해서 표적 대상의 특성을 고려한 프로그램 개발 및 교육이 요구된다.

• 농촌계획
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• 제15권2호
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• pp.81-96
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• 2009

This study has found out the status of the environment ecology(topography structure. land-use, flora, plant community structure, wildbird) in 10 uninhabited islands(i.e. Kei island, Hadon island, Sangdon island, Daewa island, Hwanggang island, Naebi island, Oebi island, Prickly castor-oil tree island, Tongin island, Yuk island), Namhae-gun, Gyeongsangnam-do. Moreover, It has suggested ways of improving the environment ecology status by classifying the type of environment ecology about the degree of use and damage that based on the results of environment ecology survey. According to the results of topography structure survey, the survey site altitude was ranged within 1m$\sim$25m, otherwise, the radient was classified the rock area(.i.e. slope of less than $5^{\circ}$ the dead level) and the slope area where is steep slope. Moreover, there was showed evenly a variety of aspect. Land-use were divided the field(Kei island), dry native grasslands(Hadon island), naturalized grasslands(Sangdon island), Pinus thunbergii community(Dacwa island, Hwanggang island, Naebi island, Yuk island), the rock area(Oebi island, Prickly castor-oil tree island, Tongin island). As the results of flora survey, the number of plant species were 30$\sim$115 species and the naturalized species were found 2$\sim$12 species in each site. The results of plant community structure analysis, The dominant species were Pinus thunbergii and Pinus densiflora were in upper tree layer, furthermore, it were Pinus thunbergii, Eurya japonica, Prunus sargentii, Celtis sinensis, Morus bombycis, ect. in cannopy tree layer. In shrub layer, the dominant species were Rosa multiflora, Rubus crataegifolius, Parthenocissus tricuspidata, etc. The status of wildbird bird, had been found 42 species 938 individuals, especially, there were Bubo bubo kiautschensis(natural monument No. 324) and Haematopus ostralegus osculans(natural monument No. 326). According to these synthetic results, we are able to classify the 5 types of environment ecology such as the natural coast forest that composed of Pinus thunbergii and Pinus densiflora(Daewa island, Hwanggang island, Naebi island, Oebi island, Tongin island, Yuk island), the field in vegetation area(Kei island), vegetation succession area of fallow field type(Hadon island), vegetation damage area by the forest fire and disturbance elements(Prickly castor-oil tree island), dominant naturalized species grassland by grazing cattle(Sangdon island).

• 한국조경학회지
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• 제21권3호
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• pp.89-98
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• 1993

It is necessary for the park tree manager to have the current information about the status of trees, which can help him with right decisions. However, there are many problems in the existing management method such as huge amount of data, tedious work, and the difficult update work due to the lack of necessary data or the inappropriate data record and management method. The sole use of database management system(DBMS) cannot slove these problems because it cannot handle graphic data based on the locational information. So, it is imperative for the park manager to have locational data as well as attribute data of the park tree concerned. Therefore, the purpose of this study is to develop the personal computer-based, user friendly park tree management information system, which deals with attribute data(DBMS) and graphic data(using the CAD) together within the integrated environment. The park tree management information system developed in this study provides a complete operating environment for data input, update, query, delete, and retrieve. The major advantages of this system are as follows: 1) To search the location and distribution of trees. 2) To record, store, and manage data easily. 3) When the manager is changed, delivery of the park tree work is convenient. 4) The system can help the manager with the correct information for the efficient park tree management.

• Journal of Forest and Environmental Science
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• 제34권1호
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• pp.57-60
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• 2018

Great cormorant (Phalacrocorax carbo) have been growing on a large scale since they settled on Jokja Island in Lake Paldang in 2010. In 2017, 827 breeding nests were found in Jokja Island and the breeding success rate was $2.60{\pm}0.23$ per nest. Nestling tree did not show any specificity for the species and was severely damaged. As the nesting materials for cormorants, branches and leaves, which were easy to come by around the island, were used. Most of their prey were fish in Lake Paldang. The population the great cormorants showed high breeding success rate, indicating that Jokja Island was a good site for breeding. Thus, it shows that continuous research for them needs to be done.

• 대한전기학회논문지:전력기술부문A
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• 제50권5호
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• pp.241-247
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• 2001

Network reconfiguration in distribution systems is realized by changing the status of sectionalizing switches, and is usually done for loss reduction of load balancing in the system. This paper presents an effective heuristic based switching scheme to solve the distribution feeder loss reduction problem. The proposed algorithm consists of two parts. One is to set up a decision tree to represent the various switching operations available. Another is to apply a proposed technique called cyclic best first search. the proposed algorithm identify the most effective the set of switch status configuration of distribution system for loss reduction. To demonstrate the validity of the proposed algorithm, numerical calculations are carried out the 32, 69 bus system models.

• Journal of Information Processing Systems
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• 제18권6호
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• pp.822-829
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• 2022

According to existing study into the remote fault diagnosis procedure, the current diagnostic approach has an imperfect decision model, which only supports communication in a close distance. An Internet of Things (IoT)-based remote fault diagnostic approach for wind power equipment is created to address this issue and expand the communication distance of fault diagnosis. Specifically, a decision model for active power coordination is built with the mechanical energy storage of power generation equipment with a remote diagnosis mode set by decision tree algorithms. These models help calculate the failure frequency of bearings in power generation equipment, summarize the characteristics of failure types and detect the operation status of wind power equipment through IoT. In addition, they can also generate the point inspection data and evaluate the equipment status. The findings demonstrate that the average communication distances of the designed remote diagnosis method and the other two remote diagnosis methods are 587.46 m, 435.61 m, and 454.32 m, respectively, indicating its application value.