• 보건행정학회지
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• 제14권2호
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• pp.1-16
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• 2004

The study purpose was to find which factors affect selection of hospital network types. This study used the 1998 American Hospital Association Annual Survey Database from Health Forum. Among these U.S. hospitals, the researcher selected hospitals located in Metropolitan Statistical Areas. Therefore the final observation cases for analysis are 1,971 Metropolitan Statistical Area hospitals in the United States. To identify significant variables influencing hospital network types, the study used proportional odds logistics regression model on population size, Health Maintenance Organization penetration rate, and market competition rate of area including a hospital, types of hospital ownership, hospital bed size, proportion of Medicare patients and Medicaid patients in total hospital patients, and occupancy rate. Contrary to conventional wisdom, selection of hospital network types was influenced by population size of area which a hospital located, types of ownership, hospital bed size, and proportion of medicare patients rather than Health Maintenance Organization penetration. Population size 1,000,000-2,499,999 had the highest probability of selecting type IV (clinical-vertical integration) from an independent hospital, and a religious group owned hospitals and for-profit owned hospitals had the highest probability of selecting Type IV (clinical-vertical integration) from an independent hospital. A bed size had positive relation on selecting Type IV (clinical-vertical integration) from an independent hospital. Unlikely general belief that the selecting types of hospital network was determined by the change of health insurance policy such as Health Maintenance Organizations and Preferred Provider Organizations, the types of hospital network were influenced by community characteristics such as population size, and hospital characteristics.

• 한국터널지하공간학회 논문집
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• 제19권6호
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• pp.857-870
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• 2017

사회기반시설의 지중화로 인하여 쉴드 TBM 적용이 점차 확대되고 있는 추세다. 합리적인 공기기간 및 공사비 산정을 위해 쉴드 TBM의 실굴진율을 정확하게 예측하는 것은 매우 중요한 사안이라 할 수 있다. 이러한 이유로 국내에서는 지반의 물성을 합리적으로 반영한 쉴드 TBM의 실굴진율 예측모델이 필요한 상황이다. 본 연구는 쉴드 TBM의 순굴진율 산정을 위해 현장 데이터베이스를 기반으로 현장관입지수의 통계적 예측절차를 모듈화 하였다. 출력인자로 현장관입지수를 선정하였고, 비정상치 제거 및 전처리 그리고 최상 부분집합선택이 고려된 능형회귀를 적용한 예측시스템을 모듈에 포함하였다. 또한 현장 굴진 데이터를 활용하여 예측모델의 적용성을 확인하였다.

• Journal of Plant Biotechnology
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• 제4권3호
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• pp.129-134
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• 2002

We report the development of a new selection system for the transformation of pepper plants by mannose. In order to achieve this, we first tested several factors related to regeneration conditions. Among the 30 inbred lines examined, line P9l5 was able to generate shoots at the highest rate from both cotyledons and hyporotyls in MS media. A dosage curve for optimizing the selection conditions was established by mixing mannose (range 0-50 g/L) and sucrose (range 0-30 g/L). The least selection pressure on shoot formation was created by a mixture of sucrose and mannose at 20 g/L and 15 g/L, respectively, and the threshold for ultimate tissue death was 50 g/L of mannose irrespective of the sucrose concentration. However, we found that mannose itself was not the sole inhibitor of pepper shoot development. High concentrations of sucrose (30 g/L) contributed additively to the inhibition of shoot formation at higher mannose concentrations. Genotype preference is a major factor that enhances regeneration ability in mannose media, as was observed in MS media. P9l5 and P410 line had high regeneration rates under mannose selection conditions in the presence of Agrobacterium infection. Different virulence levels of Agrobacterium strains did change the regeneration rates, probably due to interaction with the specificities of the inbred lines. Taken together, P9l5 offers the best pepper inbred line for transformation and we recommend a selection condition of 20 g/L of sucrose and 15 g/L or more of mannose up to 50 g/L in media.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.240-259
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• 2020

Analyzing network traffic is the basis of dealing with network security issues. Most of the network security systems depend on the feature selection of network traffic data and the detection ability of malicious traffic in network can be improved by the correct method of feature selection. An FAFS method, which is short for Fuzzy Association Feature Selection method, is proposed in this paper for network malicious traffic detection. Association rules, which can reflect the relationship among different characteristic attributes of network traffic data, are mined by association analysis. The membership value of association rules are obtained by the calculation of fuzzy reasoning. The data features with the highest correlation intensity in network data sets are calculated by comparing the membership values in association rules. The dimension of data features are reduced and the detection ability of malicious traffic detection algorithm in network is improved by FAFS method. To verify the effect of malicious traffic feature selection by FAFS method, FAFS method is used to select data features of different dataset in this paper. Then, K-Nearest Neighbor algorithm, C4.5 Decision Tree algorithm and Naïve Bayes algorithm are used to test on the dataset above. Moreover, FAFS method is also compared with classical feature selection methods. The analysis of experimental results show that the precision and recall rate of malicious traffic detection in the network can be significantly improved by FAFS method, which provides a valuable reference for the establishment of network security system.

• 한국정보통신학회논문지
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• 제20권12호
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• pp.2213-2218
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• 2016

본 논문은 복수 개의 중계기와 도청자가 존재하는 중계기 통신 네트워크에서 보안 오류 확률을 낮출 수 있는 새로운 중계기 선택 기법을 제안한다. 도청자의 복호 확률을 낮추기 위해서 데이터와 함께 재밍 신호를 전송하는 기존의 중계기 선택 방식에서는 수신자의 데이터 복호 확률도 낮아지는 문제점이 있었다. 본 논문에서 제안하는 새로운 중계기 선택 기법은 수신자의 복호 확률을 높이면서 동시에 도청자의 복호 확률을 낮출 수 있는 중계기를 쌍으로 선택하여 보안 오류 확률을 개선하였다. Monte-Carlo 기반 컴퓨터 시뮬레이션을 통한 성능 분석 결과에 따르면, 제안 중계기 선택 방식은 기존 중계기 선택 방식 대비 보안 오류 확률을 약 10~50배 개선시킬 수 있음을 확인하였다.

• 대한인간공학회지
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• 제34권1호
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• pp.19-27
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• 2015

Objective: The aim of this study is to investigate how well eye movement times in visual target selection tasks by an eye input device follows the typical Fitts' Law and to compare vertical and horizontal eye movement times. Background: Typically manual pointing provides excellent fit to the Fitts' Law model. However, when an eye input device is used for the visual target selection tasks, there were some debates on whether the eye movement times in can be described by the Fitts' Law. More empirical studies should be added to resolve these debates. This study is an empirical study for resolving this debate. On the other hand, many researchers reported the direction of movement in typical manual pointing has some effects on the movement times. The other question in this study is whether the direction of eye movement also affects the eye movement times. Method: A cursor movement times in visual target selection tasks by both input devices were collected. The layout of visual targets was set up by two types. Cursor starting position for vertical movement times were in the top of the monitor and visual targets were located in the bottom, while cursor starting positions for horizontal movement times were in the right of the monitor and visual targets were located in the left. Results: Although eye movement time was described by the Fitts' Law, the error rate was high and correlation was relatively low ($R^2=0.80$ for horizontal movements and $R^2=0.66$ for vertical movements), compared to those of manual movement. According to the movement direction, manual movement times were not significantly different, but eye movement times were significantly different. Conclusion: Eye movement times in the selection of visual targets by an eye-gaze input device could be described and predicted by the Fitts' Law. Eye movement times were significantly different according to the direction of eye movement. Application: The results of this study might help to understand eye movement times in visual target selection tasks by the eye input devices.

• 정보처리학회논문지D
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• 제14D권5호
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• pp.459-470
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• 2007

데이터 스트림은 빠르게 연속적으로 발생하는 무제한의 데이터 튜플의 집합이다. 이러한 데이터 스트림에 대한 질의 처리 또한 연속적이고 신속해야 하며 엄격한 시공간적 제약이 요구된다. 대부분의 데이터 스트림 관리시스템(DSMS)에서는 시공간적 제약사항을 효과적으로 지키기 위해서 등록된 연속 질의들의 선택 조건(selection predicate)들을 그룹화하거나 색인처리 한다. 본 논문에서는 연속 질의들의 선택 조건들을 속성별로 그룹화한 새로운 구조체인 속성 선택체(Attribute Selection Construct)를 제안한다. 속성 선택체에는 해당 속성이 특정 질의조건에 사용되는지 여부, 부분적으로 미리 계산된 질의결과 정보, 그리고 해당 속성의 선택률 통계 등 효율적인 질의 처리를 위한 유용한 정보들이 포함된다. 또한, 대상 질의집합을 구현한 속성 선택체들 간의 처리 순서는 전체적인 질의성능에 많은 영향을 미칠 수 있기 때문에 효과적으로 속성 선택체 처리 순서를 결정할 수 있는 전략도 함께 제안된다. 마지막으로, 기존의 방법들이 포함된 다양한 실험을 통하여 제안된 방법론의 성능을 여러 각도에서 비교 검증한다.

• 한국시뮬레이션학회논문지
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• 제18권1호
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• pp.17-25
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• 2009

본 논문에서는 퍼지기반 Segment-Boost 방법을 소개하고, 이를 이용한 효과적인 얼굴인식 방법을 제안한다. 퍼지기반 Segment-Boost는 기존의 Segment-Boost가 갖고 있던 문제점과 성능의 한계요소들을 제거함으로써, 향상된 학습 성능뿐만 아니라 학습 성능의 안정성과 신뢰성을 보장하여 준다. 퍼지기반 Segment-Boost는 퍼지이론을 이용함으로써 서브벡터 선택개수를 최적화하고, 이를 통해 최상의 학습 성능이 유도될 수 있도록 설계되었다. 또한, 퍼지기반 Segment-Boost 내에서의 퍼지추론을 위해 본 논문에서 설계한 퍼지 제어기는 퍼지기반 Segment-Boost의 학습 성능을 측정하고, 최적화된 서브벡터 선택개수를 추론함으로써 서브벡터 선택개수를 제어한다. 시뮬레이션 결과, 본 논문에서 설계한 퍼지 제어기는 실제 최적의 서브벡터 선택개수에 매우 근접한 값을 추론하였다. 그 결과, 퍼지기반 Segment-Boost는 비교 실험한 boosting 방법보다 높은 얼굴인식률을 보여줌과 동시에 기존 Segment-Boost 만큼의 빠른 특징선택 속도를 유지하였고, 이러한 실험결과를 통해 퍼지기반 Segment-Boost의 학습 성능과 이를 이용한 특징선택 및 얼굴인식 방법에 있어서의 성능향상 및 안정성이 입증되었다.

• Biotechnology and Bioprocess Engineering:BBE
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• 제5권2호
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• pp.71-78
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• 2000

The recent progress od DNA technologies including DNA fingerprinting (DFP) and random amplified DNA polymorphism (RAPD) analysis make it possible to identify the specific genetic trits of animals and to analyze the genetic diversity and relatedness between or withinspecies or populations. Using those techniquse, some efforts to identify and develop the specific DNA markers based on DNA polymorphism, which are related with economic traits for Korean native animals, Hanwoo(Korean native cattle),Korean native pig and Korean native chicken, have been made in Korea for recent a few years. The developed specific DNA markers successfully characterize the Korean native animals as the unique Korean genetic sources, distinctively from other imported breeds. Some of these DNA markers have been related to some important economic traits for domestic animals, for example, growth rate and marbling for Honwoo, growth rate and back fat thinkness fornative pig, and growth rate, agg weight and agg productivity for native chicken. This means that those markers can be used in important marker-assised selection (MAS) of Korean native domestic animals and further contribute to genetically improve and breed them.

• Asian-Australasian Journal of Animal Sciences
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• 제19권4호
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• pp.514-520
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• 2006

An abandoned mandarin orange orchard in southwestern Japan was set-stocked by Japanese Black cows at two stocking rates (1.0 and 2.0 animals/ha), and vegetation dynamics and diet selection by cattle were monitored for two years, in an effort to obtain information on effective use of abandoned agricultural fields for low-cost animal production and environmental conservation. Two dominant species at the commencement of grazing, kudzu (Pueraria lobata Ohwi) and tall goldenrod (Solidago altissima L.), showed different responses to grazing during the two years; the composition of kudzu decreased, contrasting with that of tall goldenrod which increased at both stocking rates. This was caused by high preference for kudzu and avoidance or low preference for tall goldenrod by cattle. Retrogression of vegetation due to cattle disturbances occurred at both stocking rates, with the high stocking rate leading to a lower degree of succession than the low stocking rate. It was shown that cattle grazing, particularly at a high stocking rate, was effective in the management of vegetation of an abandoned orchard.