• 전자공학회논문지
• /
• 제54권6호
• /
• pp.100-105
• /
• 2017

본 논문은 개인 인증 알고리즘에 관한 것으로 심전도를 이용한 생체 인증 방식은 특정 보정기준점을 추출하는 방법과 그렇지 않은 방법으로 분류할 수 있으며 본 논문에서 제안하는 방법은 특정 보정기준점을 추출하지 않는 방법으로 이산 코사인 변환과 랜덤 포레스트 분류기를 사용하였다. 심전도 신호는 R-Peak 점을 기준으로 단일 심박으로 나누었으며 각 심박의 특징 추출을 위해 이산 코사인 변환을 적용하였다. 이산 코사인 변환 계수는 정보가 저주파에 집중되는 특성이 있으므로 초기 저주파에 해당하는 40까지 값을 특징으로 랜덤 포레스트 분류기를 구성하였다. 랜덤 포레스트는 의사결정 트리의 앙상블 분류기로 결정 트리를 기본으로 하고 있으므로 빠른 학습 속도와 많은 양의 데이터 처리 능력, 다양한 클래스를 분류할 수 있어 실생활에 적용 가능하며 무엇보다 ID의 승인과 거절을 위한 임계값을 분류기 내부에서 조절할 수 있어 오 분류에 강건한 알고리즘을 구성할 수 있다. 18개의 심전도 파일로 구성된 MIT-BIT Normal Sinus Rhythm 데이터베이스를 선정하여 성능을 평가하였으며 99.99%의 심전도 인식률을 보였다.

• 한국간호교육학회지
• /
• 제13권1호
• /
• pp.32-40
• /
• 2007

Purpose: The purpose of this study was to develop and evaluate an integrated clinical evaluation program to increase the competency of senior nursing students. Method: A cross-sectional one group test design was utilized. Based on a framework derived from the prior studies, an integrated clinical evaluation program was developed. In order to assess the effect of the developed program, the senior students' experience with the program was measured. The participants were senior nursing students and the program was performed on November, 2005 after their semester was all finished. Result: The evaluation score for ability in application of nursing process was 83.87 and nursing skill was 85.69 by evaluators. The students reported that the program provided a chance to relearn and practice basic nursing skills and it was helpful in increasing decision making competency and their ability to apply the nursing process. Conclusion: This study suggests that the integrated clinical evaluation program contributes to cultivating a nurse with comprehensive nursing competencies and to improve the nursing students' knowledge, attitude, and skill.

• 한국수자원학회논문집
• /
• 제39권11호
• /
• pp.947-960
• /
• 2006

선행연구에서 제안된 건천화 방지를 위한 유역통합관리 절차를 안양천 중상류 유역에 적용한 결과이다. 특히 대상 유역에 대한 물순환 흐름을 파악하기 위한 구체적인 자료 및 취득방법을 제시하였고, 중유역별 상태파악 및 대안 선택에 PSR 모형을 사용하여 지속가능성에 대한 개념이 반영하였으며, 지수산정 방식은 다단계 다기준 의사결정알고리즘 중 하나인 복합계획법을 사용하는 등 구체적인 방법을 제시하였다. 또한 대상유역에 대해 구체적인 건천화 방지 대안을 제시하였으며 SWAT모형을 이용하여 각각에 대해 물순환 개선 효과분석을 수행하였고 이 결과를 바탕으로 대안의 평가지수를 산정하여 우선순위를 제시하였다.

• 한국수자원학회논문집
• /
• 제39권12호
• /
• pp.1031-1042
• /
• 2006

최근 유역과 하천개발사업에 대한 관심이 높아지고 있다. 이러한 배경하에서 본 논문은 실험선택법(choice experiment)을 적용하여 안양천의 속성별 가치를 추정하고 추정된 가치를 적용하여 안양천 물순환 건전화를 위한 대안의 경제적 가치를 추정하였다. 실험선택법은 여러 속성으로 구성된 환경재의 가치추정방법으로 응답자의 선호체계에 명확하게 초점을 둔 지불의사 유도방법이다. 예비조사를 통해 안양천이 가진 속성을 홍수피해위험, 유지유량, 수질, 하천형태, 안양천 개선분담금으로 설정하였다. 서울시와 경기도 지역 거주민 200명을 설문조사하였고 조건부로짓 모형을 적용하여 각 속성에 따른 수준별 가구당 매월 잠재가치를 추정하였다. 본 논문은 정책결정자들에게 하천개발 사업과 관련한 의사결정과정에 유용한 방법론적 체계와 정량적 정보를 제공할 것으로 기대된다.

• 한국수자원학회논문집
• /
• 제41권3호
• /
• pp.315-324
• /
• 2008

본 연구는 조건부가치평가법 중 이중양분선택형 질문을 사용하여 안양천 유역의 수질개선에 대한 지불의사를 추정하였다. 선형로짓모형에서 전체 응답자의 지불의사액은 4,930원이었으며 서울지역 거주민과 경기지역 거주민의 차이는 없는 것으로 추정되었다. 응답자들은 전반적으로 조건부 시장을 잘 받아들였으며 가구당 월평균 3,860원에서 5,101원의 지불의사를 가지고 있는 것으로 분석되었다. 이 값을 전체지역으로 확장하면 연간 약 83.0억원에서 109.7억원에 해당한다. 본 연구는 정책결정자들이 향후 유역과 관련된 사업에서 의사결정과정에 유용한 연구과정과 정량적인 정보를 제공할 것으로 기대한다.

• 융합보안논문지
• /
• 제12권3호
• /
• pp.11-17
• /
• 2012

ISO/IEC 9000에 의하면 품질이란 사용 시 사용자 요구사항을 만족시키는 제품이나 서비스의 특성을 종합한 개념으로 정의하고 있다. 웹애플리케이션의 시큐어코딩은 안정성과 함께 정보시스템 서비스 품질을 결정짓는 요소 중의 하나이다. 시큐어코딩을 달성하기 위해서는 품질을 기반으로 하는 설계 모델이 필요하다. 그 이유는 보안도 하나의 품질 속성으로서 비 기능적 요구사항의 범위에 속하기 때문이다. 웹애플리케이션 품질평가체계 설계를 위해서는 품질의 정의를 기초로 품질속성, 품질요구사항, 품질측정 시나리오가 정의되고 설정되어야 한다. 이를 위해 IEEE 1061 품질모델을 참조한 웹애플리케이션 품질모델 관리체계를 개발한다. 웹 애플리케이션 아키텍쳐 설계는 시큐어코딩 품질모델 체계, 웹어플리케이션 이해관계자 관심 도출, 아키텍처 동인 결정, 품질속성 도출, 보안품질 요구사항 설정, 웹어플리케이션 아키텍처기술서 작성, 보안 프레임워크 설계 순서로 구성된다.

• Human Ecology Research
• /
• 제58권4호
• /
• pp.539-560
• /
• 2020

This study presents work-family multiple-role planning by female university students as a new approach to worklife balance. Accordingly, this study examines university years as a key time frame during which students establish their career paths. This study integrates the social cognitive career theory and the planned behavior theory to design and evaluate a model that explains the work-family multiple-role planning process; in addition, it develops an optimal model to predict the intentions of female university students in work-family multiple-role planning. This study has conducted a structural survey with 500 female university students. After inspecting the data, the responses of 435 participants were used in the data analysis (SEM) with SPSS 21.0 and AMOS 21.0. The findings include the following. First, suitability of predictive model presents a satisfying fit. The major factors in this study's model (parental support, subjective norms, attitudes toward multiple-role planning, career decision self-efficacy, and outcome expectations) are verified as direct and indirect predictors of the work-family multiple-role planning intent of female university students. Second, the strongest predictive factor for the work-family multiple-role planning intent is the social environment factor (subjective norms), indicating that the influence of social pressure on intent is relatively large. The predictive model formulated under this study's integrated theoretical framework supplements existing research that focused on attitudes toward multiple-role planning as well as provides a more profound theoretical foundation on which work-family multiple-role planning behaviors can be better understood.

• 한국조경학회지
• /
• 제28권3호
• /
• pp.39-52
• /
• 2000

The purpose of this paper is to investigate the difference in facilities of natural recreation forests developed by public and private body to answer the research that what is the difference in development of natural recreation forest between public and private developer\ulcorner After reviewing the literatures, developer's decision-making and motivation of investment, and the planning process of natural recreation forest, we had constructed th conceptual framework and have found the hypothesis of this research. Using data on development status of natural recreation forests and questionnaire surveying of 625 visitors from 9 among 72 natural recreation forests in Korea, We analyzed the data through the comparison of quantity of facilities per 1000 visitors and logistic regression method for quality of facilities. We have found that 1) the six facilities have been turned out to be statistically significant in determining the difference of public and private recreation forests. i.e., infrastructure including roads, maintenance and information and lodging and evacuation, indoor education, outdoor education, and shopping, 2) public recreation forests are well equipped such basic facility as roads, maintenance and information, lodging and evacuation while private recreation forests are well equipped such facility as indoor education, outdoor education, and shopping, and 3) the importance of such facility as roads, maintenance and information, lodging and evacuation, outdoor education, and shopping have been turned out to have 1.99, 2.26, 1.99, 3.01 and 2.24 times more important than that of indoor education, respectively. We can conclude that public recreation forest seems to be equipped with the facilities for sound recreational opportunities for general public, and private recreation forest turned out to have more facilities for pursuit of profits, installed basic facilities for user convenience and service, and special facilities for attracting user and raising revenue. Using the results of this research, we can make a guideline for a market positioning, and standards and provisions of natural recreation forests. We suggest that the relationship between user-satisfaction and recreation facility is needed to be examined in the future research.

• 한국시스템다이내믹스학회:학술대회논문집
• /
• 한국시스템다이내믹스학회 2001년도 추계학술대회발표논문집
• /
• pp.3-14
• /
• 2001

Since 1998, government-led Korean venture business boom now proceeds into the stage of market-oriented venture business growth. At such a moment, this research is to clarify the relations between the success factors of Korean venture businesses, based on domestic and foreign documentary surveys and inquiry surveys over domestic venture businesses. This research starts from the necessity to overcome the limits of the existing researches by uni-dimensional probing research into success factors of Korean venture businesses and to manifest the multi-dimensional relations between the success factors from the various viewpoints. And this research adopts System-Dynamics methodology to manifest and utilize relations among those factors, avoiding the existing metrical approaches. This research can be called a new approach to the current ecosystems of Korean venture in which whether venture businesses success in Korea is considered to depend on the list on the stock market. For this, this research implemented verification analysis through the simulations of each factor at various levels to build causality map which clarifies the causality of success factors of venture businesses through the System-Dynamics methodology and to utilize it as a way of supporting tool for decision-making of venture businesses. This research will be able to suggest the reactions depending on various internal and external situations. This research tried to manifest the causality map of each factor on the basis of inquiry surveys and documentary surveys to verify feedback among each factor by the SD methodology. This research will be a basis bolster up the still fragile substructure of venture businesses through an efficient analysis framework using the verification of SD methodology and resulting outcomes from this research.

• Industrial Engineering and Management Systems
• /
• 제9권2호
• /
• pp.88-96
• /
• 2010

This paper presents a two-phase quantitative framework to aid the decision making process for effective selection of an efficient freight logistics hub from 8 alternatives in Thailand on the North-South economic corridor. Phase 1 employs both multiple regression and Pearson Feature selection to find the important criteria, as defined by logistics hub score, and to reduce number of criteria by eliminating the less important criteria. The result of Pearson Feature selection indicated that only 5 of 15 criteria affected the logistics hub score. Moreover, Genetic Algorithm (GA) was constructed from original 15 criteria data set to find the relationship between logistics criteria and freight logistics hub score. As a result, the statistical tools are provided the same 5 important criteria, affecting logistics hub score from GA, and data mining tool. Phase 2 performs the fuzzy stochastic AHP analysis with the five important criteria. This approach could help to gain insight into how the imprecision in judgment ratios may affect their alternatives toward the best solution and how the best alternative may be identified with certain confidence. The main objective of the paper is to find the best alternative for selecting freight logistics hub under proper criteria. The experimental results show that by using this approach, Chiang Mai province is the best place with the confidence interval 95%.