• Title/Summary/Keyword: 수량화

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Development of Evaluation Model for Road Plan using Information Measurie Technique and GIS (정보계측기법과 지리정보시스템에 의한 도로계획의 평가모델 개발)

  • Na, Joon-Yeop
    • Spatial Information Research
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    • v.16 no.1
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    • pp.1-10
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    • 2008
  • `Information measure model' and 'Information benefit model' for road plan are developed. In result of application to actual road project, 'Information measure model' showed same result with actual road plan, it can express qualitative element by 'Information' like safety, public discontent, etc. and 'Information benefit model' can evaluate present plan in the side of provider's and demader's 'benefit'.

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Effective Feature Selection Model for Network Data Modeling (네트워크 데이터 모델링을 위한 효과적인 성분 선택)

  • Kim, Ho-In;Cho, Jae-Ik;Lee, In-Yong;Moon, Jong-Sub
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.92-98
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    • 2008
  • Network data modeling is a essential research for the evaluation for intrusion detection systems performance, network modeling and methods for analyzing network data. In network data modeling, real data from the network must be analyzed and the modeled data must be efficiently composed to reflect a sufficient amount of the original data. In this parer the useful elements of real network data were quantified from packets captured from a huge network. Futhermore, a statistical analysis method was used to find the most effective element for efficiently classifying the modeled data.

Effective and Statistical Quantification Model for Network Data Comparing (통계적 수량화 방법을 이용한 효과적인 네트워크 데이터 비교 방법)

  • Cho, Jae-Ik;Kim, Ho-In;Moon, Jong-Sub
    • Journal of Broadcast Engineering
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    • v.13 no.1
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    • pp.86-91
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    • 2008
  • In the field of network data analysis, the research of how much the estimation data reflects the population data is inevitable. This paper compares and analyzes the well known MIT Lincoln Lab network data, which is composed of collectable standard information from the network with the KDD CUP 99 dataset which was composed from the MIT/LL data. For comparison and analysis, the protocol information of both the data was used. Correspondence analysis was used for analysis, SVD was used for 2 dimensional visualization and weigthed euclidean distance was used for network data quantification.

Development of Predicting Models of the Operating Speed and Operating environment Satisfaction Model in Expressways (고속도로의 주행속도예측 및 주행환경만족도 모형 개발에 관한 연구)

  • Kim, Jang-Uk;Jang, Il-Jun;Kim, Jeong-Hyeon;Lee, Su-Beom
    • Journal of Korean Society of Transportation
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    • v.27 no.2
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    • pp.117-131
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    • 2009
  • When most drivers take to the freeway, they don't necessarily pay attention to the geometric design. They expect proper design by depending on their own senses and recognition. When they evaluate the features of traveling on the freeway, they can think differently than engineers. The design needs to predict the exact speed of the driver to satisfy the driver's expectation, safety, pleasure and so on. This study categorized the factors influencing the speed of six freeways considering geometric and operational features to make a prediction model of speed. The model used multiple regression with these factors and produced statically appropriate results. This study utilized the principle component analysis and the quantification II analysis based on the image data of the satisfaction of the traveling environment collected through individual interviews. As a result, this study found the factors of satisfaction in a traveling environment. It made a satisfaction model of the traveling environment on freeways considering the change of driver's actual recognition and societal recognition using structural equations and the quantification II theory. Through the model made in this study, This model can present not only qualitative factors like satisfaction of traveling environment on freeways, but also the quantitative elements like speed. What is important is the evaluation of features of traveling on freeways reflected in the recognition and traffic environment felt by drivers.

Evaluation of Forest Recreation Functions through Quantification Method II (수량화II류를 이용한 산림휴양기능의 평가)

  • Kim, Hyun-Sik
    • Journal of Korean Society of Forest Science
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    • v.97 no.4
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    • pp.437-444
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    • 2008
  • This study has intended to evaluate the forest recreation functions to seek methods to designate the recreational areas inside a recreation forest. This study has Mt. Chung-ok in Korea as a study area to which Quantification method II as a valuation measure was applied. This study also has chosen a degree of recreational utility as an external criterion and six factors including Forest type, Forest age, Slope, Riparian area, Road, and Facility for the 173 stands in this area. As a result, absolute discriminated success rate was obtained, so that the first and second estimated correlation ratios were 82% and 74%, respectively. Road and Slope had great influences on the potential power of recreational functions. In the category, recreational function was more influenced by the existence of road and the lower degree of slope. Also, this study has drawn an evaluation map, which displayed the potential power of recreational functions by classifying three discrimination points such as H(High), M(Medium), and L(Low) through calculating the degree of recreational utility of the recreation forest for the stands by applying an estimation formula of recreational function in the stands. This study seems to be worthwhile in terms of actual, experimental, and intuitive interpretation for the degree of recreational utility calculated by using Quantification method theory.

Abstraction Method of Sensibility Factors for Streetscape Design (도로경관 설계를 위한 감성요인 추출 방법에 관한 연구)

  • Lee, Byung-Joo;Kim, Myung-Soo;Jo, Kyung-Do;NamGung, Moon
    • International Journal of Highway Engineering
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    • v.12 no.2
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    • pp.51-61
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    • 2010
  • According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

신호단어 인식에 관한 집단별 특성의 수량화 분석

  • 고병인;김동하;임현교
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 2000.11a
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    • pp.482-485
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    • 2000
  • 신호 단어는 재해사고의 우려가 있는 상황에서 잠재적 위험을 빠르게 전달하는 데에 주로 사용되는데, 많은 경우 이러한 단어들은 일관성 없이 적용되는 예가 많다. 이러한 신호 단어와 관련된 이전의 연구들은 주로 안전분야에서 사용되고 있는 주요 색상이 위급 정도를 잘 표현할 수 있는지, 경고 (WARNING), 주의 (CAUTION), 위험(DANGER) 의 3 가지 용어와 여러 가지 배경색의 조합이 위급도에 어떻게 영향을 미치는지에 대하여 연구하였다[1,2].(중략)

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Partial Quantification in Factor Analysis (인자분석에 의한 부분수량화)

  • 서혜선
    • The Korean Journal of Applied Statistics
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    • v.12 no.1
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    • pp.165-173
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    • 1999
  • 사회과학분야에서 인자분석을 실시하는 경우 제1인자의 사전정의는 연구대상분야에서의 확립된 지식 또는 전제에 의해 나온다. 예컨대 고등학교 학생들을 대상으로 국어, 영어, 수학, 사회, 과학 등의 과목성적을 측정하여 인자분석을 하는 경우 사전적으로 제 1인자를 이 과목들의 단순평균에 의해 생성되는 일반지능으로 정의하는 것이 자연스럽다. 즉 다양한 사회과학분야에서 인지분석을 행함에 있어 선행 연구나 연구자의 사전지식 또는 가설 등에 의해 제1인자를 전제하는 경우 후속되는 나머지 인자를 자료에서 찾아냄으로써 인자분석을 완성하고자 하는 것이 본 연구의 기본 내용이다.

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A Study on the Accident Characteristics Analysis of Urban Freeway (도시고속도로의 교통사고특성분석)

  • 김깁수
    • Proceedings of the KOR-KST Conference
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    • 1998.10a
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    • pp.398-407
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    • 1998
  • 본 연구는 도시고속도로의 교통사고감소를 이한 정성적인 척도를 제시하고자 한다. 본 연구에서는 도시고속도로에서 발생하고 있는 교통사고의 일반적 특성을 분석하였으며, 교통사고 발생요인과 운전자 원인과 교통사고형태와의 영향정도를 수량화이론 II류를 사용하여 분석하였다. 분석에 사용된 정성적인 자료는 1994년부터 1995년까지의 대구시 신천대로의 교통사고자료를 대상으로 하였으며, 경찰청의 교통사고보고서를 기초로 하였다. 분석결과, 70%이상의 교통사고가 운전자의 안전거리미확보와 안전운전의무위반에 의한 추돌사고였으며, 외적기준인 운전자 원인과 교통사고형태에 영향을 많이 미치는 요인으로서는 사고직전의 피해자 진로, 사고발생차선, 시간대, 차종 등의 영향이 깊은 것으로 나타났다.

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충돌사고 분석을 위한 해양사고재결서 계층화 작업

  • 정우리;예병덕;임정빈
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.185-186
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    • 2021
  • 해양사고 분석을 위한 해양사고 재결서는 중요한 정보제공의 원천이며 재발방지를 위한 개선사항을 제시한 자료이다. 하지만 이는 보고서 형태로 구성되어 수량화 하여 데이터로 활용하기에는 한계가 있다. 본 연구에서는 이러한 해양사고 재결서를 원인요소와 결과요소로 구분하여 계층화작업을 시행하였다. 이를 통해 충돌사고에서 선박조우상황과 충돌부위와의 상관관꼐를 증명하기 위한 기초자료로 사용하고자 한다. .

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